Search Results for "mpi"
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32 projects for "mpi" with 2 filters applied:
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ParaStation is a robust and efficient cluster middleware, consisting of a high-performance communication layer (MPI) and a sophisticated management layer. Please notice, the public development has moved to github: https://github.com/ParaStation
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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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PARUS
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it. -
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mdtest is an MPI-coordinated metadata benchmark test that performs open/stat/close operations on files and directories and then reports the performance.
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PMGR_COLLECTIVE defines a protocol and an API designed to enable MPI jobs to startup in a flexible, scalable manner. This library enables MPI processes to exchange information with each other through a series of collective operations.
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PBS Job Seer is a program which analyses the state of a PBS/Maui batch system and automatically generates a batch script for MPI jobs which would then be able to start immediately.
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LANL-Purger is a purging system intended for use on larger parallel filesystems in which notifications or advanced queries are required before file deletion. The parallel code requires MPI and database storage uses a PostgresSQL server.
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Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
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Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
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BSPonMPI is an implementation of the BSPlib standard on top of MPI. Both MPI and BSPlib are API's of communication routines meant for parallel computing, but BSPlib is easier to learn and its performance easier to predict.
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The Parallel Compositing library enables developers to write scalable 3D graphics applications. The library does sort-last compositing, and works on both clusters and SMP machines. The API aims to be the MPI of parallel compositing.
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The STAR-MPI (Self-tuned adaptive routines for MPI collective routines) project is an on-going research and development effort to apply the adaptive software approach to develop efficient MPI collective routines across platforms and applications.
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A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
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SIM-MPI is a trace-driven simulator which can be used for performance prediction of large scale parallel program based on MPI library. SIM-MPI is based on Lo2gGP model which can capture the software overhead in high level communication library.
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TPO++ is an object-oriented message passing library intended for parallel programming. It is based on the Message Passing Interface (MPI) but allows to transmit objects and data structures of the standard template library.
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MPI implementation using PHP, project still under development... This will give you a speed-up if your code relies alot on bandwidth(eg: crawling the web), i think its useless if your program doesnt require internet.
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The Collaborative Testing System (CTS) tests parallel software using various implementations of MPI. It works on multiple platforms and supports batch systems including LSF, LCRM and workstations without a batch system. It includes a numerical diff tool.
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This project is to develop a versatile benchmark for High Performance Computing (HPC) network environments, currently the Linux-based Beowulf systems. The goal is to examine the TCP/UPD/MPI communications and their impact to system kernel.
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Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.
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The project is a data-parallel C++ library to teach parallel programming concepts. We intend to make this library portable, small, and easy to extend to work with real parallel message passing systems such as MPI and PVM. Darrell Raymond Ulm
