Search Results for "parallel computing datamaning" - Page 7
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Showing 212 open source projects for "parallel computing datamaning"
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NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in R. It allows users to write parallel programs in R easily.
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This project involves implementing simulations of Enigma machines and the Turing bombe on various parallel-computing systems including multi-processor PCs, Linux clusters, and modern enhanced graphic cards.
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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.
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Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
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Open FMM ( http://www.openfmm.net ) is and open source EM software project. It consist of a fast parallel two-dimensional TM/TE solver called Nero2d.
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The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
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PPIV is a parallel software application used in Particle Image Velocimetry (PIV) analysis. The software will compute the vector field for one image pair or multiple image pairs. PPIV can run on a single desktop machine or in a cluster environment.
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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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pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
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This project aims to create a method able to determine the most frequent word phrases in a large source of text data (>5 Gb) using the computational power of multiple processors.
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Simple Distributed Job Management Tools facilitates parallel, distributed execution of simple commands, on a network of UNIX-like machines. Components include a job dependency/exclusivity language and load-balanced remote execution facility.
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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.
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MapReduce is a simple and flexible parallel programming model initially proposed by Google for large scale data processing in a distributed computing environment. This project implements the MapReduce runtime and API for the Cell processor platform.
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Brook is an ANSI C like general purpose stream programming language and is designed to incorporate the ideas of data parallel computing and arithmetic intensity into a familiar, efficient language. Has OpenMP CPU, OpenGL, DirectX 9 and AMD CTM backends.
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GridXSLT is an implementation of the XSLT language designed for large-scale parallel processing in grid computing environments.
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A simulator for a FLEET processor architecture. Purpose: Research of new processor architectures and new approaches to parallel computing.
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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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The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.
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SimParEx executes a program(command) on many computers (farm) in parallel and collects the results (task farming). Major features: minimal requirements (TCP, SSH, Perl), flexible task definition, web interface.
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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.
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This tool lets you login with SSH to a group of machines and interact with them as if they were one machine. Each command that you enter is run in parallel on all machines in the group. The output from each machine is printed separately.
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This project aims to modify Parallel Virtual Machine (PVM) to use benefits of RDMA-capable network interconnects, commonly used in HPC clusters.
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ProteinFinder - a C language parallel computing engine for tandem protein mass spectrometry database search. ProteinFinder is interfaced with MySQL relational database MassSpec that hosts the experimental data, predicted databases, and search results.
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OurGrid is a free-to-join peer-to-peer grid that has been in production since December 2004. Anyone can freely and easily join it to gain access to large amounts of computational power and run parallel applications.
