Projects

Open MPI

Open MPI is a project that originated as the merging of technologies and resources from several other projects (FT- MPI, LA-MPI, LAM/MPI, and PACX-MPI) in order to build the best MPI library available. A completely new MPI-2 compliant implementation, Open MPI offers advantages for system and ... [More] software vendors, application developers, and computer science researchers. It is easy to use, and runs natively on a wide variety of operating systems, network interconnects, and batch/scheduling systems. [Less]

Equalizer - Parallel Rendering

Equalizer is an open source programming interface and resource management system for scalable OpenGL applications. An Equalizer application can run unmodified on any visualization system, from a singlepipe workstation to large scale graphics clusters and multi-GPU workstations. Equalizer is built ... [More] upon a parallel OpenGL-based programming interface solving problems that are common to any multipipe application. The API is minimally invasive, making application porting as easy as possible while delivering maximum performance. [Less]

openMosix

openMosix is a a set of extensions to the standard Linux kernel allowing you to build a cluster of out of off-the-shelf PC hardware. openMosix scales perfectly up to thousands of nodes. You do not need to modify your applications to benefit from your cluster (unlike PVM, MPI, Linda, etc.). Processes ... [More] in openMosix migrate transparently between nodes and the cluster will always auto-balance. [Less]

Kusu

Project Kusu is the open source base for the next generation of Platform Open Cluster Stack 5 (OCS). It is designed from the ground up with the following goals in mind: * Simplified cluster management, operation and deployment * Support for multiple Linux Distributions including Red Hat ... [More] Enterprise Linux, CentOS, Fedora, SuSE Linux Enterprise Server, OpenSuSE and Ubuntu Linux * Modular and hybrid stack that transparently integrates open source and commercial software into a single consistent cluster operating environment * Standards-based, open and vendor-certified [Less]

JPPF

JPPF enables computation-intensive applications to run on any number of computers, in order to greatly reduce their processing time. This is done by splitting applications into smaller parts that can be executed simultaneously on different machines.

dpark

Python clone of Spark, a MapReduce alike framework in Python

NGrid - Distributed computing in C#/.NET

NGrid is an open source (LGPL) grid computing framework written in C#. NGrid aims to be platform independent via the Mono project. NGrid aims to provide * a transparent multithread programming model for grid programming. * a physical grid framework & some grid implementations. * ... [More] common utilities both for grid programming or grid implementations. [Less]

ClusterIt

ClusterIt is a collection of clustering tools to allow simple administration of groups of UNIX machines. It can also be used to facilitate parallel shell scripting, and compiling.

F# MPI Tools

Project Description Message Passing Interface (MPI) is the standard of message passing in a distributed computing environment. Its benefit for researchers is invaluable. The idea is to have many machines on a high-speed network, clusters of computers running the same program. Recently, with the ... [More] invention and adoption of multi-core CPU systems for desktops, it has become even more important. MPI makes even easier for people to build supercomputers by the usage of powerful computers, high speed networks and powerful libraries. The goal of MPI Tools is to make easy to write programs that runs on a cluster of machines. Also make the transition easy of existing programs in cluster. Using MPITools, it is possible to create distributed functional applications with F#. [Less]

blopex

Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX)1 is a package, written in C and MATLAB/OCTAVE, that includes an eigensolver implemented with the Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG) 2. Its main features are: a matrix-free iterative method for ... [More] computing several extreme eigenpairs of symmetric positive generalized eigenproblems; a user-defined symmetric positive preconditioner; robustness with respect to random initial approximations, variable preconditioners, and ill-conditioning of the stiffness matrix; and apparently optimal convergence speed. BLOPEX supports parallel MPI-based computations. BLOPEX is incorporated in the HYPRE package and is available as an external block to the PETSc package. SLEPc and PHAML have interfaces to call BLOPEX eigensolvers, as well as DevTools by Visual Kinematics. 1 A. V. Knyazev, I. Lashuk, M. E. Argentati, and E. Ovchinnikov, Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in hypre and PETSc (2007). SIAM Journal on Scientific Computing (SISC). 25(5): 2224-2239, http://dx.doi.org/10.1137/060661624. 2 A. V. Knyazev, Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method. SIAM Journal on Scientific Computing 23 (2001), no. 2, pp. 517-541. http://dx.doi.org/10.1137/S1064827500366124 [Less]