Search Results for "parallel" - Page 53
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Showing 1671 open source projects for "parallel"
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The idea is to design simple computers, comparable to vintage homecomputers, large numbers of which are simulated on a PC in parallel. The machines connect to each other, with the goal of seeing efficient structures grow spontaneously, like crystals.
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Pixapr is a visualization plugin for XMMS, but not regular visualization plugin. It will output REAL light show by devices controlled via parallel port. It is based on XPLSISNJASP and Palace. Pixapr stands for Pixapr Is Xplsisnjasp And Palace Reloaded.
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Webber is a Visual C# 2008 based project, convertible for Unix systems with the Mono framework. Webber is a virtual, parallel, uncensored provider in which every user can free navigate, also add a comment for every page and add a vote for it.
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Simple console program intended for factor or principal components analysis. It calculates the optimal number of factors using the Horn's parallel analysis, computes the Kaiser-Meyer-Olkin and a few other measures of sampling adequacy.
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AI-First Supply Chain ManagementLogility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
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A GUI comparison tool that automates diffs detection between versions. You can record and play scenarios on two different releases of the same app (in sequential or parallel mode); jDiffChaser compares both screens and shows you the differences.
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User friendly PDB (Protein Data Bank) file editor with graphic user interface for protein crystallographers to expedite selective parallel edit / data extraction / analysis of their PDB files
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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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We are using a large archive of newspaper stories(GigaWordCorpus) as input to a parallel MPI program, and produce from that a list of top R terms of varying lengths M through N that are especially interesting. The program is done in C using MPI.
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Rover is a Perl package that provides a means of executing commands on remote machines via SSH, Telnet, or Rsh. Connections are made and then managed using Expect for Perl. A distinct advantage of Rover is its ability to process many hosts in parallel.
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Ray improves throughput when many concurrent queries access large scientific databases. Queries are synchronized to access sectors on disk simultaneously so that an arbitrary number of parallel queries can be executed without degradation in performance.
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Stealth web surfing under the protection of massive automated surf streams. You can run the tool in parallel to your normal browser to hide your personal surfing habbits under the massive amount of automated nonsense surfung patterns.
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The PyAALib-JyAALib project is a Python-Java/Jython implementation of the Asynchronous Action Framework based on Pure Object Oriented Concepts. The Massive Parallel Framework in Python Language - Full Compatible with Jython-JAVA
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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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...Provides simulation of 3D CFD problem based on Quasi-Gas Dynamics approach with radiation processes token into account. Lots of spectral intervals are considered. Parallel MPI/OpenMP-based implementation is provided.
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An high speed Linux device driver for the digital parallel I/O board DIO32HS produced by National Instrument. Currently we tested only computer input, were we get more than 5.5Mbytes/sec on a 32 bit wide bus.
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This project implements the parallelized version of the LBG vector quantization algorithm on Cell Broadband Engine.
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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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The High Throughput Sequence Analysis Pipeline uses freely available bioinformatics tools from NCBI, Phylip, EMBOSS and clustalw to identify and group closely related DNA samples. It can be run on *Nix systems linearly or in parallel using the SGE.
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This project aims to provide Linux users with a usable tool to title MiniDiscs using a portable MiniDisc Recorder (Sony MZ-R900 and MZ-R70 tested, but it should run on other MiniDisc recorders too) and a self-made interface for the parallel port (MDCOM).
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IU parallel fastDNAml is a program that infers evolutionary histories from genetic sequences, modified and extended from the serial version of fastDNAml to run in parallel on heterogeneous and widely distributed systems.
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FoamBlade provides a complete toolchain for hotwire foam-cutting. FoamBlade currently supports 4-axis hot-wire foamcutting machines that are connected to the parallel port. Generating cut-files from special built DXF-Files is also possible.
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This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
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This project is for developing a simple tetris using DirectX 9.0c. This tetris has the distinctive feature, compared to other tetris, that both the fade-out of full-lines and coming out of new controlled block goes in parallel.
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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.
