11 projects tagged "mpi"
Updated 22 Sep 2012
Hierarchical Data Format
| Pop | 331.99 |
|---|---|
| Vit | 50.35 |
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).
Updated 14 May 2013
Gfarm
| Pop | 136.21 |
|---|---|
| Vit | 32.29 |
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.
Updated 30 Jun 2010
PyMW
| Pop | 47.79 |
|---|---|
| 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.
Updated 12 Oct 2011
2DECOMP&FFT
| Pop | 44.68 |
|---|---|
| Vit | 2.25 |
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.
Updated 02 Mar 2013
underling
| Pop | 31.16 |
|---|---|
| Vit | 9.02 |
The underling library provides simple, scalable means to manipulate MPI-parallel, three dimensional pencil decompositions using FFTW. Pencil decompositions are a natural way to distribute O(n^3) data across O(n^2) processors and are well-suited for memory-intensive, structured spectral turbulence simulations and postprocessing codes. It may be useful in other domains as well. The library is written in C99 and may be used by C89 or C++ applications.
Updated 08 May 2011
HOPSPACK
| Pop | 24.02 |
|---|---|
| Vit | 1.45 |
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.
Updated 05 Jan 2011
Elemental
| Pop | 22.80 |
|---|---|
| Vit | 29.45 |
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.
Updated 08 Mar 2010
PupyMPI
| Pop | 21.73 |
|---|---|
| Vit | 34.20 |
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.
Updated 14 Dec 2011
astroPluto
| Pop | 20.71 |
|---|---|
| Vit | 1.00 |
astroPluto is modular Godunov-type code intended mainly for astrophysical applications and high Mach number flows in multiple spatial dimensions. The code embeds different hydrodynamic modules and multiple algorithms to solve the equations describing Newtonian, relativistic, MHD, or relativistic MHD fluids in Cartesian or curvilinear coordinates.
Updated 12 Apr 2012
paralab
| Pop | 20.64 |
|---|---|
| Vit | 20.10 |
paralab is a framework for black-box analysis of MPI programs. It allows you to investigate communication patterns, performance issues, and algorithmic features of binary MPI programs, without any source code.
