https://docs.snic.se/w/api.php?action=feedcontributions&feedformat=atom&user=Michael+Schliephake+%28PDC%29 2026-04-23T10:25:30Z User contributions MediaWiki 1.31.10 https://docs.snic.se/w/index.php?title=Code_Optimisation_and_Performance_Tuning_(November_2015)&diff=6129 2015-06-09T10:15:55Z

<p>Michael Schliephake (PDC): /* Course web page and registration */</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>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Introduction_to_Programming_the_Xeon_Phi_Processor_(November_2015)&diff=6128 2015-06-09T10:15:32Z

<p>Michael Schliephake (PDC): /* Course web page and registration */</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>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Advanced_GPU_Programming_(November_2015)&diff=6127 2015-06-09T10:14:03Z

<p>Michael Schliephake (PDC): /* Course web page and registration */</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>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Code_Optimisation_and_Performance_Tuning_(November_2015)&diff=6126 2015-06-08T15:37:52Z

<p>Michael Schliephake (PDC): /* Prerequisite knowledge */</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 /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/code-optimisation-and-performance-tuning-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Code_Optimisation_and_Performance_Tuning_(November_2015)&diff=6125 2015-06-08T15:37:05Z

<p>Michael Schliephake (PDC): /* Course overview */</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 part of the training devoted to parallel programs<br /> <br /> == Course web page and registration ==<br /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/code-optimisation-and-performance-tuning-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Introduction_to_Programming_the_Xeon_Phi_Processor_(November_2015)&diff=6124 2015-06-08T15:35:59Z

<p>Michael Schliephake (PDC): /* Course overview */</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 /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/introduction-to-programming-the-xeon-phi-processor-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Advanced_GPU_Programming_(November_2015)&diff=6123 2015-06-08T15:34:27Z

<p>Michael Schliephake (PDC): /* Course overview */</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 /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/advanced-gpu-programming-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Code_Optimisation_and_Performance_Tuning_(November_2015)&diff=6118 2015-06-04T16:53:33Z

<p>Michael Schliephake (PDC): Created page with &quot;{{training event info |description=Advanced Programming techniques for performance improvement of numerical simulation codes |fields=Computational Science |event type=Course |loc...&quot;</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 /> Available in week 24/2015<br /> <br /> == Course web page and registration ==<br /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/code-optimisation-and-performance-tuning-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Introduction_to_Programming_the_Xeon_Phi_Processor_(November_2015)&diff=6117 2015-06-04T16:50:54Z

<p>Michael Schliephake (PDC): Created page with &quot;{{training event info |description=Introduction to Intel's Xeon Phi processor for scientific computing |fields=Computational Science |event type=Course |location=Stockholm (PDC) ...&quot;</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 /> Available in week 24/2015<br /> <br /> == Course web page and registration ==<br /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/introduction-to-programming-the-xeon-phi-processor-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Advanced_GPU_Programming_(November_2015)&diff=6115 2015-06-04T16:46:27Z

<p>Michael Schliephake (PDC): moved Advanced GPU Programming to Advanced GPU Programming (November 2015)</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 /> Available in week 24/2015<br /> <br /> == Course web page and registration ==<br /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/advanced-gpu-programming-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Advanced_GPU_Programming&diff=6116 2015-06-04T16:46:27Z

<p>Michael Schliephake (PDC): moved Advanced GPU Programming to Advanced GPU Programming (November 2015)</p> <hr /> <div>#REDIRECT [[Advanced GPU Programming (November 2015)]]</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Advanced_GPU_Programming_(November_2015)&diff=6114 2015-06-04T16:45:35Z

<p>Michael Schliephake (PDC): Created page with &quot;{{training event info |description=Advanced Programming techniques for scientific computing using GPU |fields=Computational Science |event type=Course |location=Stockholm (PDC) |...&quot;</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 /> Available in week 24/2015<br /> <br /> == Course web page and registration ==<br /> Available in week 24/2015<br /> <br /> &lt;!--<br /> For more information and registration refer to the <br /> [https://www.pdc.kth.se/events/event-repository/advanced-gpu-programming-november-2015 PDC webpage]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6108 2015-05-09T20:31:13Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing; Computational science<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |other activities=User training in parallel computing.; Teaching introductions to programming, parallel computing, scientific computing.<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.<br /> ** GPU programming<br /> ** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> == Expertise ==<br /> * [[expertise::C]]<br /> * [[expertise::C++]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::Python]]<br /> * [[expertise::MPI]]<br /> * [[expertise::OpenMP]]<br /> * [[expertise::CUDA]]<br /> * [[expertise::OpenACC]]</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6107 2015-05-09T20:30:02Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing; Computational Science<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |other activities=User training in parallel computing.; Teaching introductions to programming, parallel computing, scientific computing.<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.<br /> ** GPU programming<br /> ** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> == Expertise ==<br /> * [[expertise::C]]<br /> * [[expertise::C++]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::Python]]<br /> * [[expertise::MPI]]<br /> * [[expertise::OpenMP]]<br /> * [[expertise::CUDA]]<br /> * [[expertise::OpenACC]]</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Python&diff=6106 2015-05-09T20:28:23Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>[[Category:Programming language]]<br /> A programming language.<br /> <br /> == Experts ==<br /> {{list experts}}<br /> <br /> == Links == <br /> * [http://python.org python.org] offical homepage.</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=OpenACC&diff=6105 2015-05-09T20:28:05Z

<p>Michael Schliephake (PDC): Created page with &quot; == Experts == {{list experts}}&quot;</p> <hr /> <div><br /> == Experts ==<br /> {{list experts}}</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=CUDA&diff=6104 2015-05-09T20:27:54Z

<p>Michael Schliephake (PDC): Created page with &quot; == Experts == {{list experts}}&quot;</p> <hr /> <div><br /> == Experts ==<br /> {{list experts}}</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Fortran&diff=6103 2015-05-09T20:27:23Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>[[Category:Programming language]]<br /> A programming language.<br /> <br /> == Experts ==<br /> {{list experts}}</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=C%2B%2B&diff=6102 2015-05-09T20:26:51Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>[[Category:Programming language]]<br /> A programming language.<br /> <br /> == Experts ==<br /> {{list experts}}</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=C&diff=6101 2015-05-09T20:26:33Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>[[Category:Programming language]]<br /> A programming language.<br /> <br /> == Experts ==<br /> {{list experts}}<br /> <br /> == Links ==</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6100 2015-05-09T20:24:16Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |other activities=User training in parallel computing.; Teaching introductions to programming, parallel computing, scientific computing.<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.<br /> ** GPU programming<br /> ** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> == Expertise ==<br /> * [[expertise::C]]<br /> * [[expertise::C++]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::Python]]<br /> * [[expertise::MPI]]<br /> * [[expertise::OpenMP]]<br /> * [[expertise::CUDA]]<br /> * [[expertise::OpenACC]]</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6099 2015-05-09T20:21:57Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |other activities=User training in parallel computing.; Teaching introductions to programming, parallel computing, scientific computing.<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.<br /> ** GPU programming<br /> ** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6098 2015-05-09T20:21:38Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |other activities=User training in parallel computing; Teaching introductions to programming, parallel computing, scientific computing.<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** Applications of scientific computing in computational chemistry, physics and astrophysics; particle methods.<br /> ** GPU programming<br /> ** Performance optimisation of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6097 2015-05-09T20:09:59Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation; GPU computing<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC and KTH<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |general activities=Application expert<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** GPU programming<br /> ** Performance tuning of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Marcus_Holm_(UPPMAX)&diff=6096 2015-05-09T20:08:23Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Marcus<br /> |last name=Holm<br /> |centre=UPPMAX<br /> |fields=Performance optimisation; Parallel programming; Computational science; GPU computing<br /> |fte=50<br /> |financing=UPPMAX.<br /> |general activities=I help users with productivity, program performance, and parallelisation.<br /> |other activities=Currently, I am on 50% parental leave, but I have 50% employment as a junior lecturer at the Division of Scientific Computing at Uppsala University.<br /> |image=Marcus.jpg<br /> |office=ITC building 2, floor 4, room 2404; Division of Scientific Computing; Department of Information Technology; Uppsala University.<br /> |start date=2013-10-01<br /> |end date=2015-09-31<br /> |is active=yes<br /> }}<br /> <br /> <br /> == Expertise ==<br /> * [[expertise::C]]<br /> * [[expertise::Fortran]]<br /> * [[expertise::MPI]]<br /> * [[expertise::OpenMP]]<br /> * [[expertise::Perl]]<br /> * [[expertise::Matlab]]<br /> <br /> == Projects ==<br /> * [[project::SNIC coordinated training]]</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6095 2015-05-09T20:04:32Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel programming; Performance optimisation<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC and KTH<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |general activities=Application expert<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** GPU programming<br /> ** Performance tuning of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=6094 2015-05-09T20:04:09Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{application expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=Parallel Parallel programming; Performance optimisation<br /> |fte=25<br /> |snic ae financing=25<br /> &lt;!--|image=x.png--&gt;<br /> |financing=SNIC and KTH<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> |general activities=Application expert<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** GPU programming<br /> ** Performance tuning of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://people.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=3891 2012-04-24T14:42:25Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{systems expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=GPU computing; Performance Tuning<br /> |other activities=System manager of cluster systems.<br /> &lt;!--|image=name of an uploaded image file--&gt;<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support for<br /> ** GPU programming<br /> ** Performance tuning of applications and algorithms, f.ex. to use optimally high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processor and system architectures<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See more information at http://www.pdc.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=3890 2012-04-24T13:42:52Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{systems expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=GPU computing; Performance Tuning<br /> |other activities=System manager of cluster systems.<br /> &lt;!--|image=name of an uploaded image file--&gt;<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support<br /> ** GPU programming<br /> ** Performance tuning of applications and alogrithms, f.ex. to use high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processors and system architectures optimally<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See up-to-date information at http://www.pdc.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=3889 2012-04-24T13:42:31Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{systems expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=GPU computing; Performance Tuning<br /> |other activities=System manager of cluster systems.<br /> &lt;!--|image=name of an uploaded image file--&gt;<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> }}<br /> <br /> == Quick facts ==<br /> * Working in service for HPC users since 2006; before that long-term experience in large-scale software development projects<br /> <br /> <br /> * Can provide support<br /> ** GPU programming<br /> ** Performance Tuning of applications and alogrithms, f.ex. to use high-level parallelisation techniques like MPI and OpenMP as well as hardware-near opportunities like advanced processors and system architectures optimally<br /> ** Many other questions around software development, f.ex software-architecture or software development tools for practical implementation (compilers, debuggers, profilers)<br /> <br /> <br /> * See up-to-date information at http://www.pdc.kth.se/~michs/<br /> <br /> &lt;!--<br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=3888 2012-04-24T12:49:48Z

<p>Michael Schliephake (PDC): </p> <hr /> <div>{{systems expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=GPU computing; Performance Tuning<br /> |other activities=System manager of cluster systems.<br /> &lt;!--|image=name of an uploaded image file--&gt;<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> }}<br /> <br /> &lt;!--<br /> == Quick facts ==<br /> * Working in service for HPC since 2006<br /> * This part is clear text and very much up to you.<br /> * Bullet lists are good <br /> * for the lazy<br /> <br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=Category:GPU_computing&diff=3886 2012-04-24T12:43:40Z

<p>Michael Schliephake (PDC): Created page with &quot;{{research area info |description=Use of Graphical Processing Units (GPU or simply &quot;graphics cards&quot;) in all types of scientific simulations. }} {{PAGENAME}} concerns {{#show: Cat...&quot;</p> <hr /> <div>{{research area info<br /> |description=Use of Graphical Processing Units (GPU or simply &quot;graphics cards&quot;) in all types of scientific simulations.<br /> }}<br /> {{PAGENAME}} concerns {{#show: Category:{{PAGENAME}}|?description}}.<br /> <br /> == Experts ==<br /> {{list general experts}}</div>

Michael Schliephake (PDC) https://docs.snic.se/w/index.php?title=User:Michael_Schliephake_(PDC)&diff=3885 2012-04-24T12:38:34Z

<p>Michael Schliephake (PDC): Created page with &quot;{{systems expert info |first name=Michael |last name=Schliephake |centre=PDC |fields=GPU computing; Performance Tuning |other activities=System manager of cluster systems. &lt;!--|i...&quot;</p> <hr /> <div>{{systems expert info<br /> |first name=Michael<br /> |last name=Schliephake<br /> |centre=PDC<br /> |fields=GPU computing; Performance Tuning<br /> |other activities=System manager of cluster systems.<br /> &lt;!--|image=name of an uploaded image file--&gt;<br /> |office=Room 423, Teknikringen 14; SE-100 44 Stockholm<br /> |phone=+46 08 790 78 22 (office)<br /> }}<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 /> <br /> == Expertise ==<br /> * [[expertise::LISP]]<br /> * [[expertise::Technobabble]]<br /> * [[expertise::TLAs]]<br /> --&gt;</div>

Michael Schliephake (PDC)