Search Results for "mpi"

Likwid is a simple to install and use toolsuite of command line applications and a library for performance oriented programmers. It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia and AMD GPUs. There is support for ARMv7 and POWER8/9 but there is currently no test machine in our hands to test them properly.

...The OpenGL library for 3D-graphics is supported through a special plugin. It also has strong support for HPC (High Performance Computing) environments, including MPI and SLURM, through the github MANA project: https://github.com/mpickpt/mana

...The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can also report for jobs running on remote hosts, e.g. jobs running on Linux Clusters. progrep works in client-server model. The server can be installed in your simulation source code with only 4 extra lines (API). When the progrep command is invoked, it queries this server as a client. progrep does not interfere with or slow down your simulation when not invoked. ...

Content-MPI (C-MPI) is an MPI-based DHT.

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

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.

My project of ethanol conversion kit for gasoline cars. Project is based on firmware for bioadapter, but here i design my own HW. Biggest advance is use of temperature sensor to modify cranking maps in cold weather.

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.

DMTA (Distributed Multithreaded Apriori) is a parallel implementation of Apriori algorithm, which exploits the parallelism at the level of threads and processes, seeking to perform load balancing among the cores. Was implemented in C++ language, using the parallelization libraries OpenMP and MPI. The algorithm was generated as a result of a project developed by André Camilo Bolina, under the guidance of teachers Marluce Rodrigues Pereira, Ahmed Ali Abdalla Esmin and Denilson Alves Pereira, in Department of Computer Science at Federal University of Lavras. The results of this project were published in the Revista de Sistemas de Informação da FSMA and is available in http://www.fsma.edu.br/si/edicao11/FSMA_SI_2013_1_Principal_1.html

mdtest is an MPI-coordinated metadata benchmark test that performs open/stat/close operations on files and directories and then reports the performance.

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.

Open MPI application monitoring (and steering) from a web-interface and a mobile device.

SCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.

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.

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

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.

CLuMPI (OpenCL under MPI) is an implementation of the OpenCL interface which uses MPI as a back end

The Cell Messaging Layer is an extremely fast, MPI-like communication library for clusters of Cell Broadband Engine processors. With it, any Cell synergistic processing element (SPE) can communicate directly with any other SPE, even across a network.

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

Samudra Manthan uses C and MPI for finding interesting n-grams(terms) in a large corpus of data. We use the GigaWord corpus to find top m interesting n-grams using TF*IDF measure.

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.

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.

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.

This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.

It is an implementation of Tuple-Space by using MPI library. Tuple-space is a logically shared memory in many parallel computing. It provides the appearance of a shared memory but do not require on underlying physical shared memory.