MPI.NET: High-Performance C# Library for Message Passing
MPI.NET MPI.NET is a high-performance, easy-to-use implementation of the Message Passing Interface (MPI) for Microsoft's .NET environment. MPI is the de facto standard for writing parallel programs running on a distributed memory system, such as a compute cluster, and is widely implemented. Most MPI implementations provide support for writing MPI programs in C, C++, and Fortran. MPI.NET provides s
On-Demand MPI Cluster with Python and EC2 (part 1 of 3) » Data Wrangling Blog
In this post, we will build a 20 node Beowulf cluster on Amazon EC2 and run some computations using both MPI and its Python wrapper pyMPI. This tutorial will only describe how to get the cluster running and show a few example computations. I’ll save detailed benchmarking for a later write-up. One way to build an MPI cluster on EC2 would be to customize something like Warewulf or rebundle one of th
NAS Parallel Benchmarks
NASA Advanced Supercomputing (NAS) Division World-class modeling, simulation, and supercomputing in support of the NASA mission The NAS Parallel Benchmarks (NPB) are a small set of programs designed to help evaluate the performance of parallel supercomputers. The benchmarks are derived from computational fluid dynamics (CFD) applications and consist of five kernels and three pseudo-applications in
Designing and Building Parallel Programs
Designing and Building Parallel Programs
High Performance Computing for Mac OS X
If you'd like to use your Apple Mac with OS X for some numerical computation, this site could be useful to you. Most of these packages have been compiled/tested on several version of OS X and XCode Tools. Feel free to contact me with questions or problems! Computation Tools :: C/Fortran GCC 4, 5, 7, 8, 9, 10, 11, 12, 13, 14 (auto-vectorizing gcc with OpenMP) : Compiled using source code from the G
Fortranチューニング/並列プログラミング虎の巻
｢スカラー･チューニング講習会｣と｢並列プログラミング(MPI)講習会｣で配布したテキスト 理研スパコン・システム講習会（内部向け）のうち､ ｢スカラー･チューニング講習会｣と｢並列プログラミング(MPI)講習会｣で配布したテキストは、下記からダウンロード可能ですのでご自由にお使い下さい（当ページはリンクフリーです）。なお、 理研スパコン・システムのユーザーの方は、講習会で配布した、理研スパコン・システムに固有の使い方について説明した ｢補足資料 ｣ も参照して下さい。 「補足資料」は理研HPCポータル(IDが必要)の「Document」の「Programming Class Materials」の「Scalar tuning and Parallel programming (Supplement)」にあります。 注意 原稿をイメージデータとして読み込んでPDFファイル化したため ､ サ
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http://www.acm.org/crossroads/xrds8-5/mpicluster.html
http://docs.hp.com/ja/B3909-90021/ch02s03.html
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http://granada.stanford.edu/cme342-wiki/index.php/Syllabus
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http://www.nersc.gov/vendor_docs/ibm/pe/am106mst02.html
http://pareto.uab.es/mcreel/ParallelKnoppix/