http://docs.snic.se/w/api.php?action=feedcontributions&feedformat=atom&user=Torben+Rasmussen+%28NSC%29 2026-06-14T23:34:04Z User contributions MediaWiki 1.31.10 http://docs.snic.se/w/index.php?title=User:Wei_Zhang_(NSC)&diff=7383 2020-02-28T10:44:08Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Wei<br /> |last name=Zhang<br /> |centre=NSC<br /> |fields=Computational science; Parallel programming; Performance optimisation<br /> |general activities=code optimization, parallelization.<br /> |activities=100% NSC<br /> |image=Weizhang.png‎<br /> |phone=0700895188 <br /> |start date=2016-11-21<br /> | <br /> |is active=yes<br /> }}<br /> <br /> == Projects ==<br /> * [[project::MIMICA code analysis]]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=File:Weizhang.png&diff=7382 2020-02-28T10:41:58Z

<p>Torben Rasmussen (NSC): Portrait image of Wei Zhang</p> <hr /> <div>Portrait image of Wei Zhang</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Rickard_Armiento_(NSC)&diff=7381 2020-02-28T10:40:23Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Rickard<br /> |last name=Armiento<br /> |centre=NSC<br /> |fields=Computational materials science<br /> |fte=40<br /> |snic ae financing=20<br /> |other ae financing=<br /> |financing=SNIC, LiU, SMHI<br /> |general activities=Maintainer of the scientific software environment at NSC.<br /> |other activities=Big data tools for LiU courses, Researcher at IFM, LiU.<br /> |image=Rickard.jpg‎<br /> |office=Room ?, House G; Campus Valla; Linköping University<br /> |phone=? (office)<br /> |start date=<br /> |end date=<br /> |is active=yes<br /> }}<br /> <br /> == Quick facts ==<br /> * Ph.D. in ?<br /> <br /> == Expertise ==</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=File:Rickard.jpg&diff=7380 2020-02-28T10:40:00Z

<p>Torben Rasmussen (NSC): Portrait image of Rickard Armiento</p> <hr /> <div>Portrait image of Rickard Armiento</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Peter_M%C3%BCnger_(NSC)&diff=7379 2020-02-28T10:37:16Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Peter<br /> |last name=Münger<br /> |centre=NSC<br /> |fields=Computational science<br /> |fte=60<br /> |snic ae financing=0<br /> |other ae financing=<br /> |financing=SNIC, LiU<br /> |general activities=Installation and support of MATLAB, Comsol, and Julia.<br /> |other activities=SNAC, Researcher and teacher at IFM, LiU.<br /> |image=PeterM.jpg‎<br /> |office=Room ?, House G; Campus Valla; Linköping University<br /> |phone=? (office)<br /> |start date=<br /> |end date=<br /> |is active=yes<br /> }}<br /> <br /> == Quick facts ==<br /> * Ph.D. in ?</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=File:PeterM.jpg&diff=7378 2020-02-28T10:36:54Z

<p>Torben Rasmussen (NSC): Portrait image of Peter Münger</p> <hr /> <div>Portrait image of Peter Münger</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Peter_Kjellstr%C3%B6m_(NSC)&diff=7377 2020-02-28T10:34:23Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Peter<br /> |last name=Kjellström<br /> |centre=NSC<br /> |fields=Computational science<br /> |fte=100<br /> |snic ae financing=20<br /> |other ae financing=<br /> |financing=SNIC, LiU, SMHI, METNO, Saab<br /> |general activities=All types of HPC Support.<br /> |other activities=Benchmarking, HPC system design.<br /> |image=PeterK.jpg‎<br /> |office=Room ?, House G; Campus Valla; Linköping University<br /> |phone= ? (office)<br /> |start date=<br /> |end date=<br /> |is active=yes<br /> }}<br /> <br /> == Quick facts ==<br /> * Background in ?<br /> * Working at NSC since ?</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=File:PeterK.jpg&diff=7376 2020-02-28T10:34:00Z

<p>Torben Rasmussen (NSC): Portrait image of Peter Kjellström</p> <hr /> <div>Portrait image of Peter Kjellström</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Frank_Bramkamp_(NSC)&diff=7375 2020-02-28T10:31:42Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Frank<br /> |last name=Bramkamp<br /> |centre=NSC<br /> |fields=Computational fluid dynamics<br /> |fte=100<br /> |snic ae financing=20<br /> |other ae financing=<br /> |financing=SNIC, Saab<br /> |general activities=Installation and support of computational fluid dynamics software.<br /> |other activities=Parallelization of the Edge code for Saab.<br /> |image=Frank.jpg<br /> |office=?, House G; Campus Valla; Linköping University<br /> |phone=? (office)<br /> |start date=<br /> |end date=<br /> |is active=yes<br /> }}<br /> <br /> == Quick facts ==<br /> * Ph.D. in <br /> <br /> == Expertise ==</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=File:Frank.jpg&diff=7374 2020-02-28T10:31:14Z

<p>Torben Rasmussen (NSC): Portrait image of Frank Bramkamp</p> <hr /> <div>Portrait image of Frank Bramkamp</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Rickard_Armiento_(NSC)&diff=7373 2020-02-28T09:30:08Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Rickard<br /> |last name=Armiento<br /> |centre=NSC<br /> |fields=Computational materials science<br /> |fte=40<br /> |snic ae financing=20<br /> |other ae financing=<br /> |financing=SNIC, LiU, SMHI<br /> |general activities=Maintainer of the scientific software environment at NSC.<br /> |other activities=Big data tools for LiU courses, Researcher at IFM, LiU.<br /> |image=Person.png<br /> |office=Room ?, House G; Campus Valla; Linköping University<br /> |phone=? (office)<br /> |start date=<br /> |end date=<br /> |is active=yes<br /> }}<br /> <br /> == Quick facts ==<br /> * Ph.D. in ?<br /> <br /> == Expertise ==</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=GENE&diff=7372 2020-02-28T09:27:45Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{software info<br /> |description=plasma microturbulence code<br /> |license=free<br /> |fields=Plasma turbulence<br /> }}<br /> [http://www.ipp.mpg.de/~fsj/gene/ {{PAGENAME}}] a {{#show: {{PAGENAME}} |?description}} code which can be used to efficiently compute gyroradius-scale fluctuations and the resulting transport coefficients in magnetized fusion/astrophysical plasmas.<br /> <br /> == Availability ==<br /> {{list resources for software}}<br /> <br /> == License ==<br /> {{show license}}<br /> <br /> The {{PAGENAME}} code is distributed under its own no-cost license.<br /> <br /> == Experts ==<br /> {{list experts}}<br /> <br /> == LINKS ==<br /> * [http://www.ipp.mpg.de/~fsj/gene/ GENE homepage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_Programming_the_Xeon_Phi_Processor_(November_2015)&diff=7371 2020-02-28T09:22:58Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction to Intel's Xeon Phi processor for scientific computing<br /> |fields=Computational science<br /> |event type=Course<br /> |location=Stockholm (PDC)<br /> |start date=2015-11-24<br /> |end date=2015-11-24<br /> }}<br /> <br /> == Course overview ==<br /> <br /> The Intel Xeon Phi is a new coprocessor supporting high performance computing with familiar programming models like OpenMP and MPI. The next technology generation will make it available even as a main processor for computer systems.<br /> <br /> This training introduces to the processor architecture and its programming.<br /> <br /> === Prerequisite knowledge ===<br /> <br /> * Programming in C, C++ or Fortran<br /> * Knowledge in programming with OpenMP and MPI recommended but not compulsory<br /> <br /> == Course web page and registration ==<br /> <br /> For more information and registration, go to [https://www.pdc.kth.se/events/event-repository/introduction-to-programming-the-xeon-phi-processor-november-2015 PDC's website], please.</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=CodeRefinery_Scientific_Programming_Gettogether_(May_2017)&diff=7370 2020-02-28T09:22:38Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Building a Nordic community of research software developers<br /> |fields=Computational science<br /> |event type=Course<br /> |location=Stockholm (PDC)<br /> |start date=2017-05-19<br /> |end date=2017-05-19<br /> }}<br /> <br /> == Course overview ==<br /> <br /> Does writing code and scripts play an important role in your research? Do you have the feeling that there is room for improvement in your programming practices? The CodeRefinery project is organizing an afternoon get-together for researchers in the Stockholm region where the focus will be on exchanging ideas and discussing common problems encountered when developing code for research - and how to go about solving them.<br /> <br /> More information and registration details can be found on the workshop webpage: http://coderefinery.org/workshops/2017-05-19-stockholm/<br /> <br /> === Who the meeting is for ===<br /> <br /> * If you are writing code that is used in research, then you might want to attend this meeting.<br /> <br /> == Date and time ==<br /> <br /> Friday May 19, 2017, 13:15-17:00.<br /> <br /> == Venue ==<br /> <br /> CSC library, enter via the [https://goo.gl/ZAvu2O CSC Service Center, Lindstedtsvägen 3, 4:th floor, KTH Campus.]<br /> <br /> == Course web page and registration ==<br /> <br /> To register for this workshop, go to the [http://coderefinery.org/workshops/2017-05-19-stockholm/ workshop webpage].</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Code_Optimisation_and_Performance_Tuning_(November_2015)&diff=7369 2020-02-28T09:22:16Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Advanced Programming techniques for performance improvement of numerical simulation codes<br /> |fields=Computational science<br /> |event type=Course<br /> |location=Stockholm (PDC)<br /> |start date=2015-11-26<br /> |end date=2015-11-27<br /> }}<br /> <br /> == Course overview ==<br /> <br /> Numerical algorithms have to be implemented very efficiently in order to meet their performance requirements. Therefore, knowledge about performance optimisation techniques becomes increasingly important also for application developers who could trust on compilers and other software tools in the past to unleash the computational power of their systems. This training provides background and applicable knowledge for the development of efficient numerical simulation programs that achieve high performance on recent computer systems.<br /> <br /> Starting from current computer architectures, methods for the performance tuning of serial programs will be discussed. The efficient usage of memory hierarchies and arithmetic logic units are central content for it: caches, loop optimisations, vectorization and other implementation techniques.<br /> <br /> Further topics about optimisation of parallel programs comprise the use of OpenMP on shared memory computers as well as MPI, the Message-Passing Interface, for distributed memory computers.<br /> <br /> === Prerequisite knowledge ===<br /> <br /> * Programming in C, C++ or Fortran<br /> * Knowledge of OpenMP and MPI for topics devoted to parallel programs<br /> <br /> == Course web page and registration ==<br /> <br /> For more information and registration, go to [https://www.pdc.kth.se/events/event-repository/code-optimisation-and-performance-tuning-november-2015 PDC's website], please.</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=An_introduction_to_solving_partial_differential_equations_in_Python_with_FEniCS_(Lunarc_June_2015)&diff=7368 2020-02-28T09:21:55Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Solving partial differential equations in Python with FEniCS <br /> |fields=Computational science<br /> |event type=Course<br /> |location=Lund<br /> |start date=2015-06-09<br /> |end date=2015-06-10<br /> }}<br /> <br /> == Course overview ==<br /> The [http://fenicsproject.org/ FEniCS Project] is a collection of open source software for the automated, efficient solution of partial differential equations. The software allows specifying finite element variational problems in close to mathematical form and, via automated code generation techniques, the automated assembly and solution of such. This is a powerful and exciting combination that enables rapid, reliable and fun development of efficient finite element models.<br /> <br /> This two-day short course will consist of short lectures in combination with hands-on exercises aimed at novice FEniCS users: starting from the very basics to solving non-trivial, nonlinear, time-dependent PDEs.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.lunarc.lu.se/Courses/an-introduction-to-solving-partial-differential-equations-in-python-with-fenics Lunarc webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Advanced_GPU_Programming_(November_2015)&diff=7367 2020-02-28T09:21:30Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Advanced Programming techniques for scientific computing using GPU<br /> |fields=Computational science<br /> |event type=Course<br /> |location=Stockholm (PDC)<br /> |start date=2015-11-05<br /> |end date=2015-11-06<br /> }}<br /> <br /> == Course overview ==<br /> Nvidia GPUs are established accelerators providing impressive computational power also to scientific applications.<br /> <br /> The content of this training is centered around performance analysis and programming techniques for better scalability and performance of GPU programs.<br /> <br /> === Prerequisite knowledge ===<br /> * Programming in C, C++ or Fortran<br /> * Basic knowledge in GPU programming with CUDA or OpenACC<br /> <br /> == Course web page and registration ==<br /> <br /> For more information and registration, go to [https://www.pdc.kth.se/events/event-repository/advanced-gpu-programming-november-2015 PDC's website], please.</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Anders_Sj%C3%B6str%C3%B6m_(LUNARC)&diff=7366 2020-02-28T09:17:27Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Anders<br /> |last name=Sjöström<br /> |centre=LUNARC<br /> |fields=Technical acoustics; MATLAB; GPU computing<br /> |image=small_face.png<br /> |fte=50<br /> |financing=LUNARC<br /> |general activities=Helps users with Matlab usage on clusters, Maintainer of the GPU resource Erik at LUNARC<br /> |other activities=Phd Student in Technical acoustics. <br /> |office=John Ericssons väg 1; 221 00 Lund<br /> |phone=+46(0)462228086; <br /> }}<br /> <br /> <br /> == Expertise ==<br /> * [[expertise::Matlab]]<br /> * [[expertise::MPI]]<br /> * [[expertise::OpenMP]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::FEM software]]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Scientific_Visualisation_(Uppsala,_Nov_2018)&diff=7365 2020-02-28T09:16:16Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Scientific Visualisation Workshop<br /> |fields=Visualisation<br /> |event type=Workshop<br /> |location=Uppsala (UPPMAX)<br /> |start date=2018-11-26<br /> |end date=2018-11-30<br /> }}<br /> <br /> In collaboration with SeSe, this year's Scientific Visualisation course will be held from 26-th to 30-th of November <br /> in Uppsala, with specially invited guest-lecturer, Alex Telea, who is the author of the course book <br /> &quot;Data Visualization: Principles and Practice&quot; on which the course is based itself.<br /> <br /> The Scientific Visualisation course deals with methods that offer a way to see the unseen, <br /> how to select appropriate methods for a given data set, possibilities and limitations with <br /> methods, and how to use visualisation toolkits. During the course, you will learn to <br /> explore your data interactively in 3D or programmatically using ParaView - an open-source, <br /> multi-platform data analysis and visualisation application. While ParaView platform is <br /> developed for quick build of visualisations and data analysis using qualitative and <br /> quantitative techniques the tool is also well suited for analysis of extremely large <br /> datasets using distributed memory computing resources.<br /> For more information on the content, schedule and how to apply for the course, please <br /> visit the course web page at http://sese.nu/scientific-visualisation-2018<br /> <br /> <br /> Anders Hast - course coordinator<br /> Department of Information Technology<br /> Division of Visual Information and Interaction<br /> anders.hast@it.uu.se</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Scientific_Visualisation_(Uppsala,_Nov_2018)&diff=7364 2020-02-28T09:15:01Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Scientific Visualisation Workshop<br /> |fields=Scientific visualisation<br /> |event type=Workshop<br /> |location=Uppsala (UPPMAX)<br /> |start date=2018-11-26<br /> |end date=2018-11-30<br /> }}<br /> <br /> In collaboration with SeSe, this year's Scientific Visualisation course will be held from 26-th to 30-th of November <br /> in Uppsala, with specially invited guest-lecturer, Alex Telea, who is the author of the course book <br /> &quot;Data Visualization: Principles and Practice&quot; on which the course is based itself.<br /> <br /> The Scientific Visualisation course deals with methods that offer a way to see the unseen, <br /> how to select appropriate methods for a given data set, possibilities and limitations with <br /> methods, and how to use visualisation toolkits. During the course, you will learn to <br /> explore your data interactively in 3D or programmatically using ParaView - an open-source, <br /> multi-platform data analysis and visualisation application. While ParaView platform is <br /> developed for quick build of visualisations and data analysis using qualitative and <br /> quantitative techniques the tool is also well suited for analysis of extremely large <br /> datasets using distributed memory computing resources.<br /> For more information on the content, schedule and how to apply for the course, please <br /> visit the course web page at http://sese.nu/scientific-visualisation-2018<br /> <br /> <br /> Anders Hast - course coordinator<br /> Department of Information Technology<br /> Division of Visual Information and Interaction<br /> anders.hast@it.uu.se</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Computational_Chemistry_Course_-_MD_Simulations,_HPC2N,_20_November_2017&diff=7363 2020-02-28T09:13:48Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Course: Computational Chemistry - MD Simulations (NAMD)<br /> |fields=Programming; Chemistry; Simulations<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2017-11-20<br /> |end date=2017-11-20<br /> }}<br /> <br /> == Course overview ==<br /> This one day course is an introduction to Computational Chemistry and MD Simulations, with half of the time dedicated to running NAMD at HPC2N. There will be a hands-on.<br /> <br /> Main topics: Basics of Molecular Dynamics simulations (force field, ensembles, beyond classical MD simulations), using NAMD at HPC2N, hands-on <br /> <br /> Participation is free and open to all existing and prospective users of HPC from Swedish institutions. Coffee and lunch will be provided. Please bring your laptop. <br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/computational-chemistry-fall-2017 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=BILS_websearch&diff=7362 2020-02-28T09:13:00Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{project info<br /> |description=BILS Web Search<br /> |fields=Software development<br /> |financing=<br /> |active=no<br /> |start date=2012-06-04<br /> |end date=2013-02-04<br /> }}<br /> <br /> <br /> == Members ==<br /> {{#ask: [[Category:Person]] [[project::{{PAGENAME}}]]<br /> |?centre<br /> |?role<br /> |?field<br /> }}<br /> <br /> If you feel the need to specify roles within the project, this is a good place to do so.</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Krishnaveni_Chitrapu_(NSC)&diff=7361 2020-02-28T09:12:24Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{systems expert info<br /> |first name=Krishnaveni<br /> |last name=Chitrapu<br /> |centre=NSC<br /> |fields=Software development<br /> |general activities=dCache development.<br /> &lt;!-- |image=name of an uploaded image file<br /> |office=Semicolon separated lines; of visiting address; newlines<br /> are ignored<br /> |phone=Semicolon separated phone numbers (with optional <br /> explanation); newlines are ignored--&gt;<br /> }}<br /> <br /> == Quick facts ==<br /> * System Developer at NSC since May 2012 <br /> * Programming Experience<br /> <br /> == Expertise ==<br /> * [[expertise::JAVA]]<br /> * [[expertise::J2EE]]<br /> * [[expertise::PL/SQL]]<br /> * [[expertise::Python]]<br /> <br /> == Projects ==<br /> * [[project::BILS websearch]]<br /> * [[project::Fido]]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_Deep_Learning,_Ume%C3%A5_(22-23_November_2018)&diff=7360 2020-02-28T09:10:51Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction to Deep Learning<br /> |fields=Machine learning; Deep learning; Linux; GPU computing<br /> |event type=Course<br /> |location=HPC2N, Umeå <br /> |start date=2018-11-22<br /> |end date=2018-11-23<br /> }}<br /> <br /> == Course overview ==<br /> This two day course gives a practical introduction to deep learning, convolutional and recurrent neural networks, GPU computing, and tools to train and apply deep neural networks for natural language processing, images, and other applications.<br /> <br /> The course consists of lectures and hands-on exercises. Keras and TensorFlow will be used in the exercise sessions. CSC's Notebooks environment will be used on the first day of the course, and the HPC2N Kebnekaise cluster on the second day.<br /> <br /> Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/deep-learning-fall-2018 course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Schr%C3%B6dinger_Molecular_Modelling_Workshop_at_HPC2N_(29_March_2017)&diff=7359 2020-02-28T09:08:26Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Schrödinger Molecular Modelling / Drug Discovery Workshop<br /> |fields=Parallel programming;Computational science; Chemistry<br /> |event type=Course<br /> |location=Umeå (HPC2N) <br /> |start date=2017-03-29<br /> |end date=2017-03-29<br /> }}<br /> <br /> == Course overview ==<br /> Schrödinger will be conducting a &quot;Molecular Modelling with Schrödinger Software&quot; workshop. Topics will be: Maestro 11, Structure-based Drug Design, Ligand-based Drug Design, and Molecular Dynamics. <br /> <br /> Hands-ons will take up about half the time, both before and after lunch. Bring your laptop!<br /> == Pre-requisites ==<br /> Basic knowledge about Schrödinger. <br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the [https://www.hpc2n.umu.se/events/courses/schrodinger-workshop-spring-2017 HPC2N course page]. Registration is now open. THIS COURSE HAS BEEN POSTPONED BY SCHRÖDINGER DUE TO TOO FEW PARTICIPANTS SIGNED UP!</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Version_Control_Workshop,_HPC2N&diff=7358 2020-02-28T09:07:23Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Version Control Workshop<br /> |fields=Linux; Version control<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2017-10-16<br /> |end date=2017-10-16<br /> }}<br /> <br /> == Course overview ==<br /> A CodeRefinery Workshop in Umeå. <br /> <br /> The aim of this course is to demonstrate to and familiarize the workshop participants with version control systems, specifically Git. Both introductory and more advanced topics will be covered. Research code is often developed in a collaborative setting, and we will discuss tools and workflows which facilitate this process. However, most of the content is also relevant to a single developer.<br /> <br /> Hands-on informal and interactive one-day event with type-along type of presentations, live coding and demos. Short tutorials alternate with practical exercises.<br /> <br /> Participation is free and open to all existing and prospective users of HPC from Swedish institutions. Coffee and lunch will be provided.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://coderefinery.org/events/2017-10-16-umea/ Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Machine_Learning_with_R,_HPC2N,_3_December_2019&diff=7357 2020-02-28T08:37:10Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Machine Learning with R<br /> |fields=Linux; R; Machine learning<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2019-12-03<br /> |end date=2019-12-03<br /> }}<br /> <br /> == Course overview ==<br /> In this course you will learn the basics of ML algorithms and how to program them in R. As realistic ML models are computationally demanding when running on a Desktop, we will also teach you how to run these models on Kebnekaise, a HPC cluster at our center. There will be a hands-on. Please bring your laptop.<br /> <br /> Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * Elements of Machine Learning<br /> * Basic Supervised Learning algorithm <br /> * Using the clusters at HPC2N <br /> * Using R at HPC2N <br /> * Rstudio <br /> * Runing test cases<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/machine-learning-with-r-2019 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Software_Carpentry_Workshop_in_R,_Ume%C3%A5_(October_2018)&diff=7356 2020-02-28T08:36:42Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Software Carpentry Workshop in R<br /> |fields=Linux; R<br /> |event type=Course<br /> |location=HPC2N, Umeå <br /> |start date=2018-10-9<br /> |end date=2018-10-10<br /> }}<br /> <br /> == Course overview ==<br /> The workshop is given by Software Carpentry in cooperation with HPC2N. The topics for this workshop will be R, Unix, and git. <br /> <br /> The course receives financial support from NeIC. Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/software-carpetry-fall-2018 course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=SNIC_Emerging_Technologies&diff=7355 2020-02-28T08:36:05Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{project info<br /> |description=Coordinating new and emerging technologies within SNIC.<br /> |fields=Emerging technologies<br /> |financing=SNIC<br /> |active=yes<br /> |start date=2014-05-01<br /> |end date=<br /> }}<br /> <br /> == Deliverables ==<br /> <br /> * '''[http://next-generation-hpc-desktop.readthedocs.org/en/latest/ Report: Next Generation HPC Desktop]'''<br /> * '''[[Media:Snic-et-technical-report-RH.pdf | Report: Robinhood Lustre]]'''<br /> <br /> == Introduction ==<br /> <br /> Currently, many SNIC centres are continuously investigate the market for current developments in emerging technologies and even buy hardware for evaluation. However, in many of these activities user involvement is limited and efforts are often duplicated between centres. This activity aims to coordinate these efforts and competence within SNIC and provide SNIC users and communities with early access to new technologies. The project will also work closely with the user communities to see if they have interests in upcoming technologies.<br /> <br /> Three focus areas have been and are described in the following sections:<br /> <br /> == Storage Technologies (C3SE, HPC2N) ==<br /> <br /> There are many storage technologies employed within SNIC. To be able to deploy solutions that are suitable for different usage scenarios, it is important that there is a continuous evaluation of availa-ble storage technologies. It is also important that prototype solutions are evaluated closely to users and facilities. Typical projects within this focus area could be:<br /> <br /> * File systems for different I/O patterns.<br /> * New storage hardware.<br /> * Higher-level file services.<br /> * Client tools for accessing available resources.<br /> * Integration services.<br /> <br /> '''Objectives and deliverables'''<br /> <br /> * Investigate how existing resources can be facilitated in new ways and how new approaches for users on how to use existing solutions can be facilitated to provide better support for I/O-intensive simulations and work-flows. (C3SE)<br /> * Investigate how the RobinHood service of Lustre v2+ filestystems can be used in conjunction with Tivoli TSM to speed up incremental backups. (C3SE, HPC2N)<br /> * Investigate how the RobinHood service of Lustre v2+ filesystems can be used to provide more fine-grained quotas, ex. for project storage etc. (C3SE)<br /> * One solution that has been used in SNIC for a number of years for long-term storage of re-search data is dCache in combination with TSM for archiving to tape. There are several al-ternatives to using TSM for archiving to tape, which should be further studied both from a performance and cost effectiveness. One example is LTFS [3]. To look at various options for long-term storage is also something that connects well to activities within WLCG and EIS-CAT_3D for which HPC2N are involved in. (HPC2N)<br /> <br /> '''Ongoing activities'''<br /> <br /> Users and groupquota through Littlejohn. Tested in operation. Scans file system and then uses changelogs to update database. Have since discovered a bug in the Lustre for changeloghantering. To be integrated for better project reporting<br /> <br /> Robin Hood and the TSM integration. Based on the changelog is active. Limited progress. Is an activity on the Lustre list.<br /> <br /> == Access-methods and remote visualisation (Lunarc, UPPMAX) ==<br /> <br /> To improve the usability of our HPC resources, many centres have been providing remote desktop solutions to users in an effort to provide a richer user experience in HPC. The service has been a great success in the research groups and the number of users is increasing. Requests for new applications and usage are increasing steadily. <br /> However, the increasing user base and request for new applications and usages has raised questions on how to efficiently scale these services in many dimensions.<br /> <br /> * Monitoring of usage patterns on the desktop servers.<br /> * Monitoring and scaling of distribution networks using different usage patterns and desktop configurations such as spatial resolution.<br /> * How to provide seamless access to hardware accelerated desktop services.<br /> * How to provide interactive access to applications and specific hardware configurations (e.g. GPU enabled nodes) through the batch-systems in a transparent way in the same desktop environment.<br /> <br /> Identifying bottlenecks in remote desktop architectures.<br /> <br /> '''Objectives and deliverables'''<br /> <br /> Remote desktop service aspects:<br /> <br /> * Evaluate different remote-access architectures based on target network specifications.<br /> * Develop best practice guides for configuration and setup of remote desktop services.<br /> * Evaluate techniques for monitoring the load and usage of the servers providing the desktop services, so that the user experience is good. Analyse usage bottlenecks and identify areas for improvement such as easy and (eventually) integrated SFTP file transfer.<br /> * Implement prototypes for providing a scalable and OS independent hardware accelerated back-end to the desktop interface. This can involve taking advantage of single or multiple GPU nodes as a provider for graphical acceleration.<br /> * Developing an on-demand hardware allocation mechanism using the queuing system to enable unique per-session access to unique hardware resources e.g. CPU or accelerator equipped nodes.<br /> * Defining community specific desktops.<br /> <br /> '''Ongoing activities'''<br /> <br /> Lunarc have been improving and testing configuration on the existing Lunarc HPC Desktop. Knowledge from this have been the basis for the design of the upcoming prototype hardware. Prototype hardware for evaluating future desktop environments have been procured from SouthPole. The hardware consists of:<br /> <br /> * NVIDIA K1/K2 evaluation system for investigating an on-demand desktop solution with accelerated graphics support. Solutions evaluated will be hypervisor-based using SLURM to allocate sessions.<br /> * Intel Xeon Clearwell system for evaluating graphics support in this architecture. Could be used for providing cost-effective desktop solutions for HPC resources.<br /> * Commodity graphics card in a server setting.<br /> <br /> Prototype system will be available mid february.<br /> <br /> == Future HPC and Accelerators (PDC, Lunarc, HPC2N) ==<br /> <br /> For future investment of computing resources in SNIC in the coming years (three large and several smaller systems), it is important that there is current specialist knowledge about different types of existing and future CPU architectures. To obtain a good basis for future decision in HPC resources, it is important that the work done at the centres, the SNIC GPU project and activities within PRACE are continued and developed further.<br /> <br /> '''Objectives and deliverables'''<br /> <br /> * Evaluate the use of next generation GPU:s K40 and others in the context of future SNIC resources. (Lunarc, HPC2N)<br /> * Operate and provide support for SNICs investments in the Zorn GPU development resource (PDC)<br /> * Operate and provide support for SNICs investments in the Erik GPU development resource (Lunarc)<br /> * Evaluate the use of next generation Xeon Phi accelerators (Knights Landing) (Lunarc, HPC2N)<br /> <br /> '''Ongoing activities'''<br /> <br /> Lunarc have procured a NVIDIA K80 system which will be installed in Erik. (Availability mid-feb 2015)<br /> <br /> HPC2N is installing Xeon Phi:s in the existing resources (Availability XX-XX-XX)<br /> <br /> == Members ==<br /> {{#ask: [[Category:Person]] [[project::{{PAGENAME}}]]<br /> |?centre<br /> |?role<br /> |?field<br /> }}</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=User:Jonas_Lindemann_(LUNARC)&diff=7354 2020-02-28T08:35:28Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{application expert info<br /> |first name=Jonas<br /> |last name=Lindemann<br /> |centre=LUNARC<br /> |fields=Grid computing;Desktop environments<br /> |other activities=Director at LUNARC;Coordinator SNIC Emerging Technologies<br /> |image=JonasLindemann.png<br /> |office=John Ericssons väg 1; 221 00 Lund<br /> |phone=(+46)462228162;(+46)707910118<br /> |fte=20<br /> |financing=SNIC<br /> |snic ae financing=<br /> |other ae financing=LU<br /> |general activities=Coordinating SNIC Emerging Technologies;Leading the development of ARC Storage UI;Grid user documentation;Developer of ARC Job Submission Tool;Lunarc Box;Lunarc HPC Desktop<br /> }}<br /> &lt;!--<br /> == Quick facts ==<br /> * Or any other heading. <br /> * This part is clear text and very much up to you.<br /> * Bullet lists are good <br /> * for the lazy<br /> --&gt;<br /> <br /> == Expertise ==<br /> * [[expertise::Grid computing]]<br /> * [[expertise::Python]]<br /> * [[expertise::SciPy]]<br /> * [[expertise::Numpy]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::C++]]<br /> * [[expertise::Structural Mechanics]]<br /> <br /> == Projects ==<br /> * [[project::SNIC Emerging Technologies]]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=SNIC_Science_Cloud_Workshop_Material&diff=7353 2020-02-28T08:34:35Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{online training material<br /> |description=Material for technical training and workshops hosted by SNIC Science Cloud. <br /> |fields=Cloud computing<br /> }} <br /> <br /> The basics of how to work with the OpenStack based Infrastructure-as-a-Service (IaaS).<br /> Estimated time needed to complete the entire lab: 3-5 hours.<br /> <br /> The material is available on Github: [https://github.com/SNICScienceCloud/technical-training]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=SNIC_Science_Cloud&diff=7352 2020-02-28T08:33:57Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{project info<br /> |description=SNIC Science Cloud is a cloud computing infrastructure run by SNIC.<br /> |fields=Cloud computing<br /> |financing=SNIC<br /> |active=yes<br /> |start date=2014-01-01<br /> |end date=<br /> }}<br /> <br /> == Introduction ==<br /> <br /> SNIC Science Cloud is a cloud computing infrastructure run by SNIC, the Swedish National Infrastructure for Computing. SNIC Science Cloud provides a national-scale IaaS cloud and associated higher-level services (PaaS), for the research community.<br /> <br /> More information is available here https://cloud.snic.se/<br /> <br /> == Members ==<br /> {{#ask: [[Category:Person]] [[project::{{PAGENAME}}]]<br /> |?centre<br /> |?role<br /> |?field<br /> }}</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=MD/CHARMM_course_at_HPC2N_(4_May_2017)&diff=7351 2020-02-28T08:33:26Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Computational Chemistry - MD/CHARMM course in Umeå<br /> |fields=High performance computing; CHARMM; Molecular dynamics<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2017-05-04<br /> |end date=2017-05-04<br /> }}<br /> <br /> == Course overview ==<br /> This one day course is an introduction to Computational Chemistry and MD Simulations, with half of the time dedicated to running CHARMM at HPC2N.<br /> There will be a hands-on. <br /> <br /> == Topics ==<br /> * Short intro to HPC2N, running a batch job<br /> * Basics on Molecular Dynamics simulations<br /> ** Force Field<br /> ** Ensembles<br /> ** Beyond classical MD simulations: Accelerated MD, Umbrella Sampling, Coarse Graining, Alchemical method<br /> * Using CHARMM at HPC2N <br /> ** Setting up a simulation<br /> ** Minimization<br /> ** Solvation &amp; Equilibration<br /> ** Production run<br /> ** Some analysis tools<br /> <br /> Participations is free. Lunch and coffee will be provided. <br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/md-simulations-spring2017 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=The_Effective_Use_of_the_Kebnekaise_Accelerators_(HPC2N,_December_2017)&diff=7350 2020-02-28T08:32:25Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=The Effective Use of the Kebnekaise Accelerators<br /> |fields=Linux; High performance computing; GPU computing; Accelerators<br /> |event type=Course<br /> |location=Umeå, HPC2N<br /> |start date=2017-12-12<br /> |end date=2017-12-12<br /> }}<br /> <br /> == Course overview ==<br /> This one day course is an introduction to using the Kebnekaise accelerators. We will look at GPU-enabled applications, as well as OpenMP, and OpenACC.<br /> <br /> There will be a hands-on, so bring your laptop.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/gpu-course-2017 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(October_2015)&diff=7349 2020-02-28T08:31:43Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2015-10-19<br /> |end date=2015-10-22<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(October_2014)&diff=7348 2020-02-28T08:31:29Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2014-10-20<br /> |end date=2014-10-24<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * &quot;One-liners&quot; with bash, sed, and awk<br /> * Intro to Python's syntax and environment<br /> * Scripting in bash and python<br /> * Local modules, libraries, functions<br /> * User questions &amp; issues<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(January_2019)&diff=7347 2020-02-28T08:31:10Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2019-01-21<br /> |end date=2019-01-24<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/introductory-course-winter-2019/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(January_2018)&diff=7346 2020-02-28T08:30:53Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2018-01-15<br /> |end date=2018-01-18<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/introductory-course-winter-2018/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(January_2016)&diff=7345 2020-02-28T08:30:36Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2016-01-11<br /> |end date=2016-01-17<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(January_2015)&diff=7344 2020-02-28T08:30:18Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2015-01-26<br /> |end date=2015-01-29<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * &quot;One-liners&quot; with bash, sed, and awk<br /> * Intro to Python's syntax and environment<br /> * Scripting in bash and python<br /> * Local modules, libraries, functions<br /> * User questions &amp; issues<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(August_2019)&diff=7343 2020-02-28T08:30:01Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2019-08-26<br /> |end date=2019-08-29<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/introductory-course-summer-2019/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(August_2018)&diff=7342 2020-02-28T08:29:10Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2018-08-27<br /> |end date=2018-08-30<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/introductory-course-summer-2018/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(August_2017)&diff=7341 2020-02-28T08:28:53Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2017-08-21<br /> |end date=2017-08-24<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * An introduction to creating and managing projects in SUPR<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/introductory-course-summer-2017/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(August_2016)&diff=7340 2020-02-28T08:28:31Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2016-08-23<br /> |end date=2016-08-26<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in both bash and python<br /> * Local modules, libraries, functions<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/support/courses-and-workshops/ Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course_(August_2015)&diff=7339 2020-02-28T08:28:15Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2015-08-24<br /> |end date=2015-08-27<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * Intro to Python's syntax and environment<br /> * Scripting in bash and python<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage] and the [http://www.uppmax.uu.se/linux-introductory-course-summer-2015 course webpage].</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Uppmax_Intro_Course&diff=7338 2020-02-28T08:27:50Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for new users of Uppmax systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Uppsala<br /> |start date=2014-08-25<br /> |end date=2014-08-28<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks. <br /> <br /> Many of the concepts discussed in the course will also apply to systems hosted at other HPC centres in Sweden (SNIC) or beyond (e.g. Prace). Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * An introduction to the Linux environment at Uppmax<br /> * An overview of the Uppmax systems<br /> * How to access the systems and utilise the system software<br /> * The purpose of the different file systems and how to manage data<br /> * The principles of the queue system and how to submit and manage jobs<br /> * General concepts in Linux<br /> * &quot;One-liners&quot; with bash, sed, and awk<br /> * Intro to Python's syntax and environment<br /> * Scripting in bash and python<br /> * Local modules, libraries, functions<br /> * User questions &amp; issues<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [http://www.uppmax.uu.se/courses-at-uppmax Uppmax webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_HPC2N_(Ume%C3%A5,_January_2018)&diff=7337 2020-02-28T08:27:27Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction to HPC2N <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2018-01-22<br /> |end date=2018-01-22<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to high-performance computing at HPC2N. The course includes an optional introduction to Linux. <br /> <br /> Participation is free and open to all existing and prospective users of HPC from Swedish institutions. Coffee and lunch will be provided.<br /> <br /> == Preliminary schedule ==<br /> * Introduction to Linux for beginners<br /> * Short presentation of HPC and of HPC2N<br /> * Our systems - Abisko and Kebnekaise<br /> * Brief overview of OpenMP, OpenACC, CUDA, KNL<br /> * How to use our systems, focus on Kebnekaise<br /> * The module system, compiler tool chains<br /> * The batch system (SLURM)<br /> * Hands-on<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/intro-spring-2018 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_HPC2N_(September_2019)&diff=7336 2020-02-28T08:27:10Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction to HPC2N<br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2019-09-12<br /> |end date=2019-09-12<br /> }}<br /> <br /> == Course overview ==<br /> This whole day course will begin with a short (optional) introduction to Linux. We then continue with an introduction to HPC and HPC2N, followed by a walkthrough of the Kebnekaise system, including the GPUs and KNLs. In the afternoon we go through the module system and take a brief look at how to submit jobs. During the hands-on you will get the opportunity to try loading modules, compile a program, and submit a job to the Kebnekaise cluster. For those who are interested, there will be a guided tour of the machine rooms.<br /> <br /> Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * Introduction to Linux for beginners<br /> * Short presentation of HPC2N<br /> * HPC<br /> * HPC2N – Kebnekaise<br /> * How to use our systems<br /> * File Systems<br /> * The Module System, including Compiler Tool Chains<br /> * The Batch System (SLURM)<br /> * Examples and hands-on<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/intro-hpc2n-fall-2019 Course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_HPC2N_(September_2018)&diff=7335 2020-02-28T08:26:37Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction course for (new) users of HPC2N's systems <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=HPC2N, Umeå <br /> |start date=2018-09-17<br /> |end date=2018-09-17<br /> }}<br /> <br /> == Course overview ==<br /> This course provides an introduction to the high-performance computing environment at HPC2N. The course begins with an (optional) part about basic Linux usage and then continues on to describe HPC2N's systems, the file systems, the module system, the batch system, as well as various tips and tricks. <br /> <br /> Participation is open to all existing and prospective users of HPC from Swedish institutions.<br /> <br /> == Topics ==<br /> * Introduction to Linux for beginners<br /> * Short presentation of HPC2N<br /> * HPC – What is that?<br /> * Abisko and Kebnekaise<br /> * HPC programming models<br /> ** OpenMP, OpenACC, CUDA, KNL<br /> * Using HPC2N's systems<br /> ** File Systems<br /> ** The Module System<br /> ** Compiler Tool Chains<br /> ** The Batch System (SLURM)<br /> * Examples and hands-on <br /> ** Simple examples <br /> ** Application examples<br /> *** Software packages<br /> *** Enabling the GPUs for faster simulations<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/intro-hpc2n-fall-2018 course webpage]</div>

Torben Rasmussen (NSC) http://docs.snic.se/w/index.php?title=Introduction_to_HPC2N_(September_2017)&diff=7334 2020-02-28T08:26:18Z

<p>Torben Rasmussen (NSC): </p> <hr /> <div>{{training event info<br /> |description=Introduction to HPC2N <br /> |fields=Linux; High performance computing<br /> |event type=Course<br /> |location=Umeå<br /> |start date=2017-09-12<br /> |end date=2017-09-12<br /> }}<br /> <br /> == Course overview ==<br /> The course provides an introduction to high-performance computing at HPC2N. The course includes an optional introduction to Linux. <br /> <br /> Participation is free and open to all existing and prospective users of HPC from Swedish institutions. Coffee and lunch will be provided.<br /> <br /> == Preliminary schedule ==<br /> * Introduction to Linux for beginners<br /> * Short presentation of HPC and of HPC2N<br /> * Our systems - Abisko and Kebnekaise<br /> * Brief overview of OpenMP, OpenACC, CUDA, KNL<br /> * How to use our systems, focus on Kebnekaise<br /> * The module system, compiler tool chains<br /> * The batch system (SLURM)<br /> * Hands-on<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.hpc2n.umu.se/events/courses/intro-fall-2017 Course webpage]</div>

Torben Rasmussen (NSC)