RSS 13 projects tagged "mpi"

Download Website Updated 22 Sep 2012 Hierarchical Data Format

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Pop 282.34
Vit 34.05

HDF (Hierarchical Data Format) is a general purpose library and file format for storing scientific data. It arranges data into datasets (multidimensional arrays) and groups (a structure for organizing objects).

Download Website Updated 25 Feb 2012 Palabos

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Pop 60.33
Vit 2.55

The Palabos library offers a framework in C++ for fluid flow simulations with the lattice Boltzmann (LB) method. Originally conceived as a research tool for lattice Boltzmann models, the code has evolved into a general-purpose program for computational fluid dynamics. The programming interface is straightforward and offers an access to the rich world of lattice Boltzmann, even to an audience with restricted theoretical knowledge of this method. A special emphasis is put on high performance and parallel computing.

No download No website Updated 08 Mar 2010 PupyMPI

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Pop 17.52
Vit 38.74

PupyMPI is a generic 100% Python MPI implementation. It aims to cover most of the MPI 1.3 API specifications, but pays less attention to performance.

Download Website Updated 30 Jun 2010 PyMW

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Pop 47.07
Vit 1.00

PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.

No download Website Updated 13 Nov 2010 MPIBurn

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Pop 14.70
Vit 35.36

MPIBurn is an MPI unicast benchmark. Modern inter-connect hardware handles broadcast messages with a different algorithm than that used for unicast messages. Just benchmarking broadcasts or N to N+1 messaging may not detect inter-connect malfunctions, so MPIBurn benchmarks any possible unicast connection while assuring to involve as many connections in parallel as possible. After each round, the peers are scrambled to ensure that the next round has completely different connection groups.

No download No website Updated 16 Dec 2010 OpenMPF

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Pop 17.09
Vit 34.91

OpenMPF is a library for solving large, dense, multi-RHS linear systems. It is based on MPI/openMP parallelism, and relies on BLAS/LAPACK/MUMPS for the single node computations. It implements direct and iterative solvers, out-of-core matrices and vectors, and is easily accessible through a Python interface.

No download No website Updated 05 Jan 2011 Elemental

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Pop 23.54
Vit 34.61

Elemental is a C++ framework for distributed-memory dense linear algebra that strives to be fast, portable, and programmable. It can be thought of as a generalization of PLAPACK to element-by-element distributions that also makes use of recent algorithmic advances from the FLAME project. Elemental usually outperforms both PLAPACK and ScaLAPACK, however, it heavily relies on MPI collectives so a good MPI implementation is crucial. Both pure MPI and hybrid OpenMP-MPI configurations are supported.

No download Website Updated 14 May 2013 Gfarm

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Pop 98.16
Vit 5.32

Gfarm is a distributed filesystem, generally used for large scale cluster computing. It's implemented in userland, and can be mounted by FUSE. It utilizes locality of a file to access a data node, and supports Globus GSI for Wide Area Network. Users can explicitly control file replica location on Gfarm. Gfarm can be used as an alternative storage system to HDFS for Hadoop, Samba, MPI-IO, and GridFTP. Monitoring via ZABBIX and Ganglia is also supported.

Download Website Updated 08 May 2011 HOPSPACK

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Pop 24.10
Vit 1.44

HOPSPACK solves derivative-free optimization problems in a C++ software framework. The framework enables parallel operation using MPI (for distributed machine architectures) and multithreading (for single machines with multiple processors or cores). Optimization problems can be very general: functions can be noisy, nonsmooth, and nonconvex, linear and nonlinear constraints are supported, and variables may be continuous or integer-valued.

Download Website Updated 12 Oct 2011 2DECOMP&FFT

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Pop 34.58
Vit 2.17

The 2DECOMP&FFT library is a software framework in Fortran to build large-scale parallel applications. It is designed for applications using three-dimensional structured mesh and spatially implicit numerical algorithms. At the foundation, it implements a general-purpose 2D pencil decomposition for data distribution on distributed-memory platforms. On top, it provides a highly scalable and efficient interface to perform three-dimensional distributed FFTs.

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