SNIC Documentation - User contributions [en]

Zoom-in

2022-11-17T08:53:52Z

Joachim Hein (LUNARC): Update for 17th November session

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 17th November 2022
* 15th December 2022
Sessions start at 14:00. Participation is via zoom-link.

You can

[https://www.kth.se/form/snic-zoom-in-17-november-2022 register here]

to obtain the zoom-link for the session on 17th November. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-09-22T09:48:21Z

Joachim Hein (LUNARC): Update for October session.

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 13th October 2022
* 17th November 2022
Sessions start at 14:00. Participation is via zoom-link. You can

[https://www.kth.se/form/snic-zoom-in-13-october-2022 register here]

to obtain the zoom-link for the session on 13th October. The link will be sent by email. This should work even after the start of the event.

MPI

2022-09-22T09:25:42Z

Joachim Hein (LUNARC): Update of URL to the MPI standard documentation

[[Category:Parallel programming]]

{{PAGENAME}} (Message Passing Interface) is a library, which is designed to provide the information exchange between different tasks of a [[distributed memory programming|distributed memory]] parallel program. It is presently the de-facto standard to implement [[message passing]] in programs written in [[Fortran]], [[C]] or [[C++]].

It consists of a group of functions which supports different communication operations.

== Experts ==
{{list experts}}

== Availability ==
All SNIC resources

== Resources ==

=== Tutorials and slide sets ===
* A [https://htor.inf.ethz.ch/teaching/mpi_tutorials/ppopp13/2013-02-24-ppopp-mpi-basic.pdf slide set] by Pavan Balaji and Torsten Hoefler from 2013 introducing basic MPI concepts

* Lecture slides from course on ''Extreme scale systems'' by William Gropp at the University of Illinois. The following lectures deal with MPI: [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture22.pdf 22] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture23.pdf 23] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture24.pdf 24] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture25.pdf 25] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture26.pdf 26] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture27.pdf 27] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture28.pdf 28] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture29.pdf 29] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture30.pdf 30] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture31.pdf 31] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture32.pdf 32] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture33.pdf 33] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture34.pdf 34] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture35.pdf 35] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture36.pdf 36] [http://wgropp.cs.illinois.edu/courses/cs598-s16/lectures/lecture37.pdf 37]. This is an extremely comprehensive introduction to MPI.

=== Standard specificatons ===
* [https://www.mpi-forum.org/docs/ Documentation of the MPI standard]

== License ==
Free (e.g. OpenMPI) and paid for (e.g. Intel MPI) implementations

MPI (Oct 2022)

2022-09-22T09:20:53Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=An introduction to parallel programming using Message Passing with MPI |fields=Parallel programming |event type=Course |location=Online |sta..."

{{training event info
|description=An introduction to parallel programming using Message Passing with MPI
|fields=Parallel programming
|event type=Course
|location=Online
|start date=2022-10-17
|end date=2022-10-20
}}

== Course overview ==
[[Message passing | Message Passing]] is presently a widely deployed programming model in massively parallel high performance computing. Message Passing is suitable for programming a wide range of current computer architectures, ranging from multi-core desk top equipment to the fastest HPC systems in the world, offering several hundred thousand processing elements.

This online course is at the beginners level and assumes no prior experience in parallel computing. The concepts behind message passing and distributed memory computing will be introduced and the syntax of the key [[MPI]] calls will be explained. The course will include point-to-point communications, non-blocking communication and the collective communications calls. Live demonstrations and practical sessions to deepen the understanding of the lectures will be part of the course. At the end of the course participants should be able to write their own MPI programs at an intermediate level. The teaching language will be English.

The course forms part of the SNIC training program. It is offered as a collaborative effort between [https://www.hpc2n.umu.se/ HPC2N], [https://www.lunarc.lu.se/ LUNARC] and [https://www.pdc.kth.se/ PDC].

== Pre-requisites ==
Participants should be able to write simple programs in one or more of C, C++, Fortran or Python. Basic knowledge of UNIX/LINUX is beneficial.

== Course web page and registration ==
For more information and registration refer to the [https://www.hpc2n.umu.se/node/928 HPC2N] or [https://www.lunarc.lu.se/training/an-introduction-to-parallel-programming-using-message-passing-with-mpi-17-20-october-2022/ LUNARC course page].

Cluster architecture and job submission, September 2022

2022-09-16T07:39:05Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Cluster architecture and job submission |fields=Scientific computing |event type=Seminar |location=Online, organised by LUNARC |start date=2..."

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-10-05
|end date=2022-10-05
}}
This event explains key features of a contemporary HPC cluster, such as deployed within SNIC and by LUNARC. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an online seminar. The seminar addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-5-october-2022/ event page] for more information and registration.

Zoom-in

2022-09-09T08:51:02Z

Joachim Hein (LUNARC): Up date for 13th October

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Registration will be available shortly.

The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-08-30T14:38:22Z

Joachim Hein (LUNARC): Update of registration link

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 8th September 2022, '''change of date!'''
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the

[https://www.kth.se/form/snic-zoom-in-8-september-2022 Registration form ]

for the season on 8th September to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-08-25T14:04:10Z

Joachim Hein (LUNARC):

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 8th September 2022, '''change of date!'''
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the

[https://www.kth.se/form/snic-zoom-in-15-september-2022 Registration form ]

for the season on 8th September to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-08-25T14:03:43Z

Joachim Hein (LUNARC): Date change for September zoom-in

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 8th September 2022, '''change of date!'''
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the

[https://www.kth.se/form/snic-zoom-in-15-september-2022 Registration form ]

for the season on 15th September to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-06-16T13:39:47Z

Joachim Hein (LUNARC): Update for 15 September running

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 15th September 2022
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the

[https://www.kth.se/form/snic-zoom-in-15-september-2022 Registration form ]

for the season on 15th September to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

An introduction to UNIX/LINUX, September 2022

2022-06-13T12:59:15Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-09-14
|end date=2022-09-14
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal seminar. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-14-september-2022/ event page] for more information and registration.

An introduction to UNIX/LINUX, September 2022

2022-06-13T12:58:49Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=An introduction to the UNIX/LINUX command line |fields=Scientific computing |event type=Seminar |location=Online, organised by LUNARC |start..."

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-02-09
|end date=2022-02-09
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal seminar. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-14-september-2022/ event page] for more information and registration.

Zoom-in

2022-06-02T10:07:15Z

Joachim Hein (LUNARC):

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.

== Next session and registration ==
The next zoom-ins are scheduled for:
* 9th June 2022
* 15th September 2022
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the

[https://www.kth.se/form/snic-zoom-in-9-june-2022 Registration form]

for the season on 9th June to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-06-02T09:53:57Z

Joachim Hein (LUNARC):

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.
== Next session ==
The next zoom-ins are scheduled for:
* 9th June 2022
* 15th September 2022
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link.

Please fill in the [https://www.kth.se/form/snic-zoom-in-9-june-2022 registration form] for the season on 9th June to obtain the zoom link. The link will be sent by email. This should work even after the start of the event.

Zoom-in

2022-05-04T09:11:01Z

Joachim Hein (LUNARC):

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.
== Next session ==
The next zoom-ins are scheduled for:
* 5th May 2022
* 9th June 2022
* 15th September 2022
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link. The link is published in the SNIC training newletters and will be published here on the day of the event.

Zoom link for the session on 5th May: https://lu-se.zoom.us/j/69163952785?pwd=aXROVGZTMWVPWkk0TU4weGxVNUdQZz09

Please enter your questions or a short outline of your issue into [https://lunduniversityo365-my.sharepoint.com/:w:/g/personal/math-joh_lu_se/EUIOx88Gwu9BvwIY_c7ccxgBVfjAwnWY4ehIAbUXLZyRIg?e=gtaKUl the Q&A document] and we will discuss them during the session.

Support

2022-04-20T09:45:21Z

Joachim Hein (LUNARC): Added zoom-in to the support page

Support alternatives:

; Guides
: This site has a number of guides on a variety of subjects, see [[:Category:Guide]].

; Centre, Swestore and SUPR support
: Go to [http://supr.snic.se/support http://supr.snic.se/support]. If you can login to SUPR you can use a support form that helps you fill in a good support request. If you cannot login you will get a list of email addresses to use for your support request.
: This is by far the quickest way of getting your problems solved, and this is where you should address all your support questions. In case an issue cannot be immediately solved by these support queues it will be forwarded to the right place for you.

; Interactive support sessions
: The [[Zoom-in|SNIC zoom-in]] is a virtual meeting room in which you can discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results.

; Application support
: e-mail: [mailto:application-support@snic.se application-support@snic.se]<br>
: This mail address can be used if you have support questions that are not directly regarding how to run a given application on a specific SNIC HPC resource, but regarding how to use the application itself or how to solve an issue with the application that is not specific to running it on a certain resource. <br>
: The application-support queue is monitored by all the application experts, who are distributed over all the six SNIC HPC centers, so there is a good chance that someone who knows the given application will see the support request and help answer your questions or solve your issue. <br>
: If you don’t know whether or not to use the application-support address for your support request, then just send your request to the support address at the HPC center where you run your jobs. Then someone monitoring that support queue will in turn move your support request to the application-support queue if they find that your request is better handled there.

Zoom-in

2022-04-20T09:36:45Z

Joachim Hein (LUNARC): Created page with "== A virtual open-house on computing, visualisation and data processing == You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services..."

== A virtual open-house on computing, visualisation and data processing ==
You are invited to a virtual meeting room. Inside the meeting room we like to discuss the services offered by the SNIC centres and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions. Discussion topics may include, but are not limited to:
*Computing and storage resources offered
*Software available
*Using interactive desktop services allowing graphical tools to directly interact with your data on the cluster
*Day-to-day interaction with the cluster, job queues, software stack
*Workflows and workflow improvements
*Questions regarding data storage, handling of sensitive data, etc.
*Options if you current systems (e.g. laptop/desktop) do not satisfy your needs
*Solutions to inadequate performance of existing local compute solutions (e.g. workstation, laptop)
*Problem reports, usability issues
*Software development, code parallelisation, debuggers, performance investigations
*Computing and storage
A number of SNIC staff members will attend the session, offering a broad area of expertise. The event is open to current users of SNIC resources and academics interested in using the resources in the future.
== Next session ==
The next zoom-ins are scheduled for:
* 5th May 2022
* 9th June 2022
* 15th September 2022
* 13th October 2022
Sessions start at 14:00. Participation is via zoom-link. The link is published in the SNIC training newletters and will be published here on the day of the event.

Please enter your questions or a short outline of your issue into a Q&A document and we will discuss them during the session.

Handling large data within SNIC, using Swestore - 15 March 2022

2022-02-17T15:55:04Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Handling large data within SNIC, using Swestore |fields=Scientific data |event type=Seminar |location=Online, organised by LUNARC and NSC |s..."

{{training event info
|description=Handling large data within SNIC, using Swestore
|fields=Scientific data
|event type=Seminar
|location=Online, organised by LUNARC and NSC
|start date=2022-03-15
|end date=2022-03-15
}}
This event addresses users handling large amounts of research data. Users with large amounts of research data, exceeding the storage available on the SNIC systems or requiring data access from multiple SNIC services, are encouraged to utilise SNIC’s Swestore system.

This seminar will discuss how to access Swestore from your laptop and from the SNIC clusters. Tools discussed will include Winscp and Cyberduck for data access from your laptop as well as the Advanced Resource Connector (ARC) middleware. The seminar will also show how to apply for Swestore storage.

Please visit the [https://www.lunarc.lu.se/training/handling-large-data-within-snic-using-swestore-15-march-2022/ LUNARC] or [https://www.nsc.liu.se/support/Events/dcache_swestore_Mar2022/ NSC] event page for more information and access to registration.

Past training events

2022-01-19T09:22:30Z

Joachim Hein (LUNARC): update for 2021 year end

This page provides an overview on high performance computed related training offered to users and personnel of the [[SNIC]] in the past.

== Training events offered or supported by SNIC in 2022 ==
{{#ask: [[Category:Training event]] [[end date::>2021-12-31]] [[end date::<{{CURRENTYEAR}}-{{CURRENTMONTH}}-{{CURRENTDAY}}]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2021 ==
{{#ask: [[Category:Training event]] [[end date::<2022-01-01]] [[end date::>2020-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2020 ==
{{#ask: [[Category:Training event]] [[end date::<2021-01-01]] [[end date::>2019-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2019 ==
{{#ask: [[Category:Training event]] [[end date::<2020-01-01]] [[end date::>2018-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2018 ==
{{#ask: [[Category:Training event]] [[end date::<2019-01-01]] [[end date::>2017-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2017 ==
{{#ask: [[Category:Training event]] [[end date::<2018-01-01]] [[end date::>2016-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2016 ==
{{#ask: [[Category:Training event]] [[end date::<2017-01-01]][[end date::>2015-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2015 ==
{{#ask: [[Category:Training event]] [[end date::<2016-01-01]] [[end date::>2014-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in or before 2014 ==
{{#ask: [[Category:Training event]] [[end date::<2015-01-01]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

Current training offers are listed on the [[Training|training page]].

Shared memory programming with OpenMP (LUNARC/HPC2N, Spring 2022)

2022-01-19T09:19:03Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=An introduction to shared memory parallel programming using OpenMP |fields=Parallel programming |event type=Course |location=Online, organis..."

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Online, organised by HPC2N and LUNARC
|start date=2022-02-28
|end date=2022-03-03
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [https://www.lunarc.lu.se/training/an-introduction-to-shared-memory-parallel-programming-using-openmp-28-february-3-march-2022/ LUNARC course webpage] and https://www.hpc2n.umu.se/events/courses/2022/openmp-spring HPC2N course webpage]. Registration is now open.

An introduction to UNIX/LINUX, February 2022

2022-01-19T09:13:39Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-02-09
|end date=2022-02-09
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-9-february-2022/ event page] for more information and registration.

An introduction to UNIX/LINUX, February 2022

2022-01-19T09:12:52Z

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2021-02-09
|end date=2021-02-09
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-9-february-2022/ event page] for more information and registration.

Editing Cluster architecture and job submission, February 2022

2022-01-19T09:08:44Z

Joachim Hein (LUNARC):

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-02-16
|end date=2022-02-16
}}
This event explains key features of a contemporary HPC cluster, such as deployed within SNIC and by LUNARC. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an online seminar. The seminar addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-16-february-2022/ event page] for more information and registration.

Editing Cluster architecture and job submission, February 2022

2022-01-19T09:08:17Z

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2022-02-16
|end date=2022-02-16
}}
This event explains key features of a contemporary HPC cluster, such as deployed within SNIC and by LUNARC. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an online seminar. The seminar addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [https://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-16-february-2022/event page] for more information and registration.

An introduction to UNIX/LINUX, February 2021

2021-01-19T19:59:10Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2021-02-10
|end date=2021-02-10
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-10-february-2021/ event page] for more information and registration.

Shared memory programming with OpenMP (LUNARC/HPC2N, March 2021)

2021-01-19T19:58:45Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Online, organised by HPC2N and LUNARC
|start date=2021-03-09
|end date=2021-03-12
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [http://www.lunarc.lu.se/training/an-introduction-to-shared-memory-parallel-programming-using-openmp-9-12-march-2021/ LUNARC webpages] and [https://www.hpc2n.umu.se/events/courses/intro-to-openmp-spring-2021 HPC2N webpages]. Registration is now open.

Cluster architecture and job submission, February 2021

2021-01-19T17:57:19Z

Joachim Hein (LUNARC):

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2021-02-17
|end date=2021-02-17
}}
This event explains key features of a contemporary HPC cluster, such as deployed within SNIC and by LUNARC. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an online seminar. The seminar addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-17th-februrary-2021/ event page] for more information and registration.

Cluster architecture and job submission, February 2021

2021-01-19T17:56:41Z

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Lund (Lunarc)
|start date=2021-02-17
|end date=2021-02-17
}}
This event explains key features of a contemporary HPC cluster, such as deployed within SNIC and by LUNARC. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an online seminar. The seminar addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-17th-februrary-2021/ event page] for more information and registration.

MPI (Online December 2020)

2021-01-19T16:44:47Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=An introduction to parallel programming using MPI |fields=Parallel programming |event type=Course |location=Online |start date=2020-12-01 |end ..."

{{training event info
|description=An introduction to parallel programming using MPI
|fields=Parallel programming
|event type=Course
|location=Online
|start date=2020-12-01
|end date=2020-12-04
}}

== Course overview ==
Message Passing using the [[MPI]]-standard is presently a widely deployed programming model in massively parallel high performance computing. Message passing is suitable for programming a wide range of current computer architectures, ranging from multi-core desk top equipment to the fastest HPC systems in the world, offering several hundred thousand processing elements.

The course is at the beginners level regarding parallel computing and assumes no prior experience in parallel computing. The concepts behind message passing and distributed memory computing will be introduced and the syntax of the key MPI calls will be explained. The course will include point-to-point communications, non-blocking communication and the collective communications calls. Practical sessions to deepen the understanding of the lectures will be part of the course. At the end of the course participants should be able to write their own MPI programs at an intermediate level. The teaching language will be English.

== Pre-requisites ==
Participants should be able to write serial programs in either of C, C++, Fortran or Python.

== Course web page and registration ==
For more information and registration refer to the [https://www.hpc2n.umu.se/events/courses/2020/MPI HPC2N], [https://www.pdc.kth.se/about/events/an-introduction-to-parallel-programming-using-message-passing-with-mpi-1.1018113 PDC], [https://www.c3se.chalmers.se/ C3SE] and [http://www.lunarc.lu.se/training/an-introduction-to-parallel-programming-using-message-passing-with-mpi-21-23-november-2018/ LUNARC course page].

An introduction to UNIX/LINUX, October 2020

2021-01-19T16:30:07Z

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2020-10-27
|end date=2020-10-27
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/past-training-events/an-introduction-to-the-unixlinux-commandline-27-october-2020/ event page] for more information and registration.

An introduction to UNIX/LINUX, September 2020

2021-01-19T16:28:00Z

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Online, organised by LUNARC
|start date=2020-09-24
|end date=2020-09-24
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/past-training-events/an-introduction-to-the-unixlinux-commandline-24-september-2020/ event page] for more information and registration.

Shared memory programming with OpenMP (LUNARC/HPC2N, March 2021)

2021-01-19T16:24:27Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Online organised by HPC2N and LUNARC
|start date=2021-03-09
|end date=2021-03-12
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [http://www.lunarc.lu.se/training/an-introduction-to-shared-memory-parallel-programming-using-openmp-9-12-march-2021/ LUNARC webpages] and [https://www.hpc2n.umu.se/events/courses/intro-to-openmp-spring-2021 HPC2N webpages]. Registration is now open.

An introduction to UNIX/LINUX, February 2021

2021-01-19T16:23:48Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=online, organised by LUNARC
|start date=2021-02-10
|end date=2021-02-10
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-10-february-2021/ event page] for more information and registration.

An introduction to UNIX/LINUX, February 2020

2021-01-19T16:21:46Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=An introduction to UNIX/LINUX |fields=Scientific computing |event type=Seminar |location=Lund (LUNARC) |start date=2020-02-26 |end date=2020-02..."

{{training event info
|description=An introduction to UNIX/LINUX
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2020-02-26
|end date=2020-02-26
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/past-training-events/an-introduction-to-unixlinux-26-february-2020/ event page] for more information and registration.

An introduction to UNIX/LINUX, February 2021

2021-01-19T16:12:16Z

{{training event info
|description=An introduction to the UNIX/LINUX command line
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2021-02-10
|end date=2021-02-10
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/an-introduction-to-the-unixlinux-commandline-10-february-2021/ event page] for more information and registration.

Shared memory programming with OpenMP (LUNARC/HPC2N, March 2021)

2021-01-19T15:49:10Z

Joachim Hein (LUNARC): page created

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Online
|start date=2021-03-09
|end date=2021-03-12
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [http://www.lunarc.lu.se/training/an-introduction-to-shared-memory-parallel-programming-using-openmp-9-12-march-2021/ LUNARC webpages] and [https://www.hpc2n.umu.se/events/courses/intro-to-openmp-spring-2021 HPC2N webpages]. Registration is now open.

Past training events

2021-01-19T15:35:02Z

Joachim Hein (LUNARC): Update for 2020 being in the past

This page provides an overview on high performance computed related training offered to users and personnel of the [[SNIC]] in the past.

== Training events offered or supported by SNIC in 2021 ==
{{#ask: [[Category:Training event]] [[end date::>2020-12-31]] [[end date::<{{CURRENTYEAR}}-{{CURRENTMONTH}}-{{CURRENTDAY}}]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2020 ==
{{#ask: [[Category:Training event]] [[end date::<2021-01-01]] [[end date::>2019-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2019 ==
{{#ask: [[Category:Training event]] [[end date::<2020-01-01]] [[end date::>2018-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2018 ==
{{#ask: [[Category:Training event]] [[end date::<2019-01-01]] [[end date::>2017-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2017 ==
{{#ask: [[Category:Training event]] [[end date::<2018-01-01]] [[end date::>2016-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2016 ==
{{#ask: [[Category:Training event]] [[end date::<2017-01-01]][[end date::>2015-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2015 ==
{{#ask: [[Category:Training event]] [[end date::<2016-01-01]] [[end date::>2014-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in or before 2014 ==
{{#ask: [[Category:Training event]] [[end date::<2015-01-01]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

Current training offers are listed on the [[Training|training page]].

Past training events

2020-01-23T08:01:20Z

Joachim Hein (LUNARC): Typo in heading fixed

This page provides an overview on high performance computed related training offered to users and personnel of the [[SNIC]] in the past.

== Training events offered or supported by SNIC in 2020 ==
{{#ask: [[Category:Training event]] [[end date::>2019-12-31]] [[end date::<{{CURRENTYEAR}}-{{CURRENTMONTH}}-{{CURRENTDAY}}]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2019 ==
{{#ask: [[Category:Training event]] [[end date::<2020-01-01]] [[end date::>2018-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2018 ==
{{#ask: [[Category:Training event]] [[end date::<2019-01-01]] [[end date::>2017-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2017 ==
{{#ask: [[Category:Training event]] [[end date::<2018-01-01]] [[end date::>2016-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2016 ==
{{#ask: [[Category:Training event]] [[end date::<2017-01-01]][[end date::>2015-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2015 ==
{{#ask: [[Category:Training event]] [[end date::<2016-01-01]] [[end date::>2014-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in or before 2014 ==
{{#ask: [[Category:Training event]] [[end date::<2015-01-01]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

Current training offers are listed on the [[Training|training page]].

Past training events

2020-01-23T08:00:36Z

Joachim Hein (LUNARC): Separate tables for 2019 and 2020 events

This page provides an overview on high performance computed related training offered to users and personnel of the [[SNIC]] in the past.

== Training events offered or supported by SNIC in 2019 ==
{{#ask: [[Category:Training event]] [[end date::>2019-12-31]] [[end date::<{{CURRENTYEAR}}-{{CURRENTMONTH}}-{{CURRENTDAY}}]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2019 ==
{{#ask: [[Category:Training event]] [[end date::<2020-01-01]] [[end date::>2018-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2018 ==
{{#ask: [[Category:Training event]] [[end date::<2019-01-01]] [[end date::>2017-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2017 ==
{{#ask: [[Category:Training event]] [[end date::<2018-01-01]] [[end date::>2016-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2016 ==
{{#ask: [[Category:Training event]] [[end date::<2017-01-01]][[end date::>2015-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

== Training events offered or supported by SNIC in 2015 ==
{{#ask: [[Category:Training event]] [[end date::<2016-01-01]] [[end date::>2014-12-31]]
|?start date
|?end date
|?event type
|?location
|?description
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== Training events offered or supported by SNIC in or before 2014 ==
{{#ask: [[Category:Training event]] [[end date::<2015-01-01]]
|?start date
|?end date
|?event type
|?location
|?description
|sort=start date
}}

Current training offers are listed on the [[Training|training page]].

Datahandling using R tidyverse (Lund, November 2019)

2019-10-09T13:37:38Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Introduction to data handling using R tidyverse in a modern software environment |fields=Parallel programming |event type=Workshop |location=Lu..."

{{training event info
|description=Introduction to data handling using R tidyverse in a modern software environment
|fields=Parallel programming
|event type=Workshop
|location=Lund
|start date=2019-11-13
|end date=2019-11-14
}}

== Course overview ==
The aim of the workshop is to teach researchers the fundamental skills that will help them be more productive while producing work of higher quality. During this two day workshop, students learn how to automate tasks using the Unix shell, how to track and share work using version control in Git, and data management and visualisation in R.

The workshop is based on Software Carpentry material, but not a full [https://software-carpentry.org/ Software Carpentry] course.

== Pre-requisites ==
Participants do not require previous knowledge in any of the tools presented during the workshop. It is aimed at novice users.

== Course web page and registration ==
For more information and registration refer to the [http://www.lunarc.lu.se/training/introduction-to-data-handling-using-r-tidyverse-in-a-modern-software-environment-13-14-november-2019/ event page on the Lunarc webpages]. Registration is now open.

Parallel Programming using OpenMP (Göteborg, November 2019)

2019-10-09T13:25:20Z

Joachim Hein (LUNARC):

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Göteborg
|start date=2019-11-27
|end date=2019-11-28
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [https://www.c3se.chalmers.se/news/omp-2019/ C3SE webpage]. Registration is now open.

Parallel Programming using OpenMP (Göteborg, November 2019)

2019-10-09T13:12:38Z

{{training event info
|description=An introduction to shared memory parallel programming using OpenMP
|fields=Parallel programming
|event type=Course
|location=Göteborg
|start date=2018-11-27
|end date=2018-11-28
}}

== Course overview ==
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.

This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.

== Pre-requisites ==
Participants should be able to program in either of C, C++ or Fortran at an intermediate level.

== Course web page and registration ==
For more information and registration refer to the [https://www.c3se.chalmers.se/news/omp-2019/ C3SE webpage]. Registration is now open.

Cluster architecture and job submission (Lunarc, October 2019)

2019-10-09T13:02:14Z

{{training event info
|description=Cluster architecture and job submission
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2019-10-17
|end date=2019-10-17
}}
This event explains key features of a contemporary HPC cluster, with a focus on the systems deployed at Lunarc. It will explain the principles behind the job scheduler and how the scheduler can be used to accomplish your computational work in an efficient manner.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/cluster-architecture-and-job-submission-17-october-2019/ event page] for more information and registration.

Debugging of HPC applications, September 2019

2019-09-03T09:30:40Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Debugging of HPC applications |fields=Scientific computing |event type=Seminar |location=Lund (LUNARC) |start date=2019-09-26 |end date=2019-09..."

{{training event info
|description=Debugging of HPC applications
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2019-09-26
|end date=2019-09-26
}}
Resolving problems in HPC applications, in particular parallel applications, can be a complicated and time consuming task. Modern code development tools greatly assist developers, when resolving common issues such as code crashes, wrong results, memory corruption and deadlock.

In this seminar we will provide an introduction to the ARM DDT (formerly known as Allinea DDT) debugger, which is part of the ARM FORGE tools suite. ARM DDT is particular useful when working on parallel applications utilising MPI and/or OpenMP. There is a SNIC wide license for ARM FORGE and the tool is available at all SNIC centres, not only LUNARC.

Please visit the [http://www.lunarc.lu.se/training/debugging-of-hpc-applications-26-september-2019/ event page] for more information and registration.

An introduction to UNIX/LINUX, September 2019

2019-08-16T10:58:22Z

{{training event info
|description=An introduction to UNIX/LINUX
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2019-09-12
|end date=2019-09-12
}}
This training seminar provides a first introduction to the UNIX/LINUX environment. It is aimed at new users of UNIX and will discuss UNIX skills required to work on a typical HPC cluster. Topics include manipulating files and directories, editing file contents and the development of simple scripts, such as required for job submission.

The event is organised as an informal lunchtime seminar – you are welcome to bring your lunch along. It addresses users who have recently started using HPC systems and prospective users considering using an HPC system in the near future.

Please visit the [http://www.lunarc.lu.se/training/an-introduction-to-unixlinux-12-september-2019/ event page] for more information and registration.

Vasp best practices (Stockholm, May 2019)

2019-04-11T09:55:45Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=VASP best practices |fields=Computational materials science |event type=Seminar |location=Stockholm (PDC) |start date=2019-05-29 |end date=2019..."

{{training event info
|description=VASP best practices
|fields=Computational materials science
|event type=Seminar
|location=Stockholm (PDC)
|start date=2019-05-29
|end date=2019-05-29
}}
Weine Olovsson from NSC will be visiting PDC on the 29th of May and will give a training seminar about how to run VASP efficiently on supercomputers. Case studies will be shown with examples from Beskow and Tetralith. The seminar will consider parallel efficiency and memory usage for different calculations, including influential settings such as NPAR, NCORE, NSIM and KPAR.

The last part of the seminar will be for questions, problems and general discussion. You will have the chance to log in to Beskow to run jobs and practice what you have learned (but note that for this you will need to have a PDC account before the seminar starts). Weine is the main expert on VASP within SNIC so if you use VASP for research, be sure to make the most of this opportunity!

Please see the [https://www.pdc.kth.se/about/calendar/training/vasp-training-seminar-1.895602 event webpage] for registration information.

Research data for open science (Lund, April 2019)

2019-03-13T15:36:22Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Making your research data fit for a future of open science and open data |fields=Scientific data |event type=Seminar |location=Lund (LUNARC) |s..."

{{training event info
|description=Making your research data fit for a future of open science and open data
|fields=Scientific data
|event type=Seminar
|location=Lund (LUNARC)
|start date=2019-04-25
|end date=2019-04-25
}}
Researchers are getting more and more demands on sharing their data. Demands are coming from funders, publishers, authorities, other researchers etc. How to share data? The FAIR Data Principles are supposed to guide researchers in how to share data in order to be F=findable, A=accessible, I=interoperable, R=re-usable.

The seminar will be an introduction to the FAIR Data Principles, which has grown in importance during the last years, among research communities, funders, research infrastructures. The seminar will also bring up practical tips and examples on what you can do as a researcher to make your data FAIR.

The seminar is offered in collaboration with the University Library of Lund University and will be held in English.

Please visit the [http://www.lunarc.lu.se/training/making-your-research-data-fit-for-a-future-of-open-science-and-open-data-25-april-2019/ event page] for more information and registration.

Visualisation and interactivity in HPC (LUNARC, March 2019)

2019-02-28T15:09:12Z

Joachim Hein (LUNARC): Created page with "{{training event info |description=Visualisation and interactivity in HPC - The LUNARC HPC Desktop |fields=Scientific computing |event type=Seminar |location=Lund (LUNARC) |start..."

{{training event info
|description=Visualisation and interactivity in HPC - The LUNARC HPC Desktop
|fields=Scientific computing
|event type=Seminar
|location=Lund (LUNARC)
|start date=2019-03-07
|end date=2019-03-07
}}
The LUNARC HPC Desktop provides SNIC users with a solution for hardware accelerated remote visualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clusters using not only multiple terminal windows but also file browsers, editors, graphical tools such as queue status and debuggers, 2D and 3D applications, etc. This seminar will give a short introduction on how to get started with the LUNARC HPC Desktop and the applications available. We will also present LUNARC HPC Desktop On-Demand, which enables users to request time on dedicated servers for running graphical user interfaces with hardware accelerated graphics.

Please visit the [http://www.lunarc.lu.se/training/visualisation-and-interactivity-in-hpc-the-lunarc-hpc-desktop-7-march-2019/ event page] for more information and registration.

MPI (Göteborg March 2019)

2019-02-07T11:02:14Z

{{training event info
|description=An introduction to parallel programming using MPI
|fields=Parallel programming
|event type=Course
|location=Göteborg (C3SE)
|start date=2019-03-21
|end date=2019-03-22
}}

== Course overview ==
Message Passing using the [[MPI]]-standard is presently the most widely deployed programming model in massively parallel high performance computing. Message passing is suitable for programming a wide range of current computer architectures, ranging from multi-core desk top equipment to the fastest HPC systems in the world, offering several hundred thousand processing elements.

The course is at the beginners level regarding parallel computing and assumes no prior experience in parallel computing. The concepts behind message passing and distributed memory computing will be introduced and the syntax of the key MPI calls will be explained. The course will include point-to-point communications, non-blocking communication and the collective communications calls. Practical sessions to deepen the understanding of the lectures will be part of the course. At the end of the course participants should be able to write their own MPI programs at an intermediate level. The teaching language will be English.

== Pre-requisites ==
Participants should be able to write serial programs in either of C, C++ or Fortran.

== Course web page and registration ==
For more information and registration refer to the [https://www.c3se.chalmers.se/news/mpi-2019/ C3SE course page]. Registration is now open.

Online training materials

2019-02-05T17:12:44Z

Joachim Hein (LUNARC): /* Software */

{{online training material
|description=Overview page on online training materials freely available
|fields=HPC training
}}

This page provides an overview on publicly available training materials available on the web.

'''SNIC can not take responsibility for the contents provided by external sources or on external web sites'''

== Basic use of HPC systems ==

=== Overview material about HPC systems ===

The [https://hpc-carpentry.github.io/ HPC-Carpentry initiative] has [https://hpc-carpentry.github.io/hpc-intro/ online training material for a 1-day introduction to HPC]. It covers both Linux command line and SLURM.

=== UNIX and LINUX ===

Almost all current HPC system use UNIX or LINUX as their operating system. Basic UNIX/LINUX skills are essential for using such a system:

* Texas Advanced Computing Center (TACC) has produced a clear and general set of [https://portal.tacc.utexas.edu/c/document_library/get_file?uuid=a0c33bf1-b2a4-48b4-a23d-fc8a79c887ec&groupId=13601 slides about HPC Linux].

* [https://www.youtube.com/watch?v=XvDZLjaCJuw This video about Unix from 1982] is surprisingly relevant today, and can impart an understanding of the underlying philosophy behind the *NIX operating system.

* The teaching materials on [http://swcarpentry.github.io/shell-novice/ the UNIX shell] of the [https://software-carpentry.org/ software carpentry] courses are available online. They are suitable for self study.

=== Job schedulers ===

==== SLURM ====
[https://www.schedmd.com/ SLURM] is currently the most widely used job scheduler by the [[centres|SNIC centres]]. Unless you are using software, whose GUI is well integrated into the scheduler, having some knowledge about it is required when working at a SNIC installation. On the SLURM website you can access the [https://slurm.schedmd.com/documentation.html official SLURM documentation] an [https://slurm.schedmd.com/faq.html FAQ] and [https://slurm.schedmd.com/tutorials.html (video) tutorials].
In addition the SNIC centres provide their own documentation, also describing local customisation:
* HPC2N's [https://www.hpc2n.umu.se/batchsystem overview of batch system sub-pages]
* LUNARC's [https://lunarc-documentation.readthedocs.io/en/latest/batch_system/ batch system guide]
* NSC's [https://www.nsc.liu.se/support/batch-jobs/introduction/ Introduction to batch jobs]
* UPPMAX's [http://uppmax.uu.se/support/user-guides/slurm-user-guide/ Slurm user guide]

== Programming and code development ==

=== Python programming ===
* The teaching materials on [http://swcarpentry.github.io/python-novice-inflammation/ Python programming] of the [https://software-carpentry.org/ software carpentry] courses are available online. They are suitable for self study and provide a good introduction for novices.
* SeSE course on [http://sese.nu/python-for-matlab-users-ht15/ Python for Matlab users]
* BioExcel webinars on [http://bioexcel.eu/category/webinar/ computational biomolecular research]. Topics include best practices for using the Gromacs and CPMD codes.

=== Statistic package R ===

* The [https://software-carpentry.org/ software carpentry] [https://swcarpentry.github.io/r-novice-inflammation/ course material] on the [https://www.r-project.org/ R package] provides a first introduction.

=== Software development tools and helpers ===
* The teaching materials on [http://swcarpentry.github.io/git-novice/ Version Control with Git] of the [https://software-carpentry.org/ software carpentry] courses provide a good introduction to version control and the git package.
* NeIC's [https://coderefinery.org/ CodeRefinery] [http://coderefinery.org/lessons/ lessons on version control with Git, automated testing, CMake, etc.]
* ARM provides [https://developer.arm.com/products/software-development-tools/hpc/arm-forge/videos video demos and tutorial]s for the DDT debugger and MAP performance profiler components of the Forge suite, for which SNIC has licenses.

=== Parallel programming ===
* General [http://www.training.prace-ri.eu/nc/training_courses/index.html HPC training material] from PRACE
* General [https://portal.xsede.org/online-training HPC training material] from XSEDE
==== Distributed memory programming with MPI ====
For [[MPI]] related training and documents see the [[MPI#Resources| resource section]] of our MPI page

==== Shared memory programming with OpenMP ====
For [[OpenMP]] related training materials refer to the [[OpenMP#Resources|resource section]] of the OpenMP page.

==== GPU programming ====
[https://www.olcf.ornl.gov/support/tutorials/ Online tutorials] from Oak Ridge National Laboratory

== Application Software ==
=== AMBER ===
* [http://ambermd.org/tutorials/ AMBER tutorials]
=== Bowtie2 ===
* [https://github.com/alvaralmstedt/Tutorials/wiki/Bowtie2-mapping Bowtie2 tutorial]
=== CASTEP ===
* Link to [http://www.castep.org/CASTEP/OnlineTutorials Online tutorials]
=== CESM (Community Earth System Model) ===
* Link to material including practical sessions from the [http://www.cesm.ucar.edu/events/tutorials/2016/coursework.html 2016 CESM Tutorial] run by UCAR. See also [[Building CESM models on the NSC triolith system]]
=== CHARMM (Chemistry at HARvard Macromolecular Mechanics) ===
* [https://www.charmm.org/charmm/documentation/ Documentation] of CHARMM.
* [https://www.charmmtutorial.org/index.php/Full_example Full example] of a CHARMM simulation setup for a solvated protein.

=== CP2K ===
* Linkto [https://www.cp2k.org/howto HOWTOs]
=== GULP ===
* Link to [http://gulp.curtin.edu.au/gulp/help/manuals.cfm online manuals]
=== GROMACS ===
* [http://www.gromacs.org/Documentation/Tutorials Tutorial section] of the GROMACS website
* [http://www.mdtutorials.com/gmx/ GROMACS tutorials] by Justin A. Lemkul from Virginia Tech
=== NAMD & VMD ===
* [http://www.ks.uiuc.edu/Training/Tutorials/ Collection of tutorials] of TCBG website. Both NAMD and VMD tutorials are presented on this link.

=== OpenFOAM ===
* Link to material from [http://www.tfd.chalmers.se/~hani/kurser/OS_CFD/#YEAR_2016 CFD course given in Chalmers].
=== Quantum Espresso ===
* Link to the [https://www.quantum-espresso.org/resources/tutorials Quantum Espresso web page for tutorials and lectures] from workshops.
=== VASP ===
* Link to 3-day [http://www.nersc.gov/users/training/events/3-day-vasp-workshop/ VASP workshop at NERSC 2016], including videos of presentations and slides.
=== WIEN2k ===
* Link to material from [http://susi.theochem.tuwien.ac.at/onlineworkshop/ WIEN2k workshop 2016 at McMasters University], with videos and presentation slides.
=== WRF ARW (Weather Research and Forecasting Model) ===
* Link to [http://www2.mmm.ucar.edu/wrf/OnLineTutorial/ WRF ARW online tutorial] made available by UCAR. See also [[Building and testing WRF on Triolith]].

== Other topics ==
=== Data Management ===

The [[Data Management Seminar Online]] is a 3-hour seminar aimed at any UPPMAX or SNIC user who deals with large data volumes — many files, or large files, or both. The seminar focuses both on practical aspects and general best practices, e.g. how to use rsync to move files, where to place data, etc.

=== SNIC Science Cloud ===

The [[SNIC Science Cloud Workshop Material]] on Github takes 3-5 hours to complete, and teaches how to work with OpenStack-based Infrastructure-as-a-Service (IaaS).