Search Results for "parallel computing"
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Showing 17 open source projects for "parallel computing"
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splitjob
Reads from stdin, splits and sends to parallel invocations of commands
Useful to split up jobs over multiple CPU cores or even multiple computers. Examples: tar -cf - /bigdirectory | splitjob -j 4 gzip > big.tar.gz splitjob "ssh h1 bzip2" "ssh h2 bzip2" < f > f.bz2 -
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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RT-BOINC stands for a Real-Time BOINC. It was designed for managing highly-interactive, short-term, and massively-parallel real-time applications. We implemented RT-BOINC on top of the recent BOINC server source codes.
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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
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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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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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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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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Personal supercomputer on a disk! The Science by FlashMob project creates specialized live booting CDs that create a single user supercomputer from a set of handy laptop or desktop machines. Suitable for MPI, CHARM++, and pyMPI parallel programs.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.
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Simulator of massively parallel computer cluster with minimal nodes. Loosely based around available information regarding Chuck Moore's c18/25x core/chip designs. Machine Forth based MISC NOSC nodes, mesh interconnection.
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Netcluster is a framework for writing parallel programs. Its main objective is to utilize the idle time of computers on a LAN by distributing tasks amongst them. The package consists of a daemon running on all volunteering machines, and a library to provi
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MPIRuby is a Ruby version of the MPI supercomputing standard interface. It enables massively parallel and distributed algorithms to be written in a platform-independent manner suitable for large-scale computation-intensive experiments. MPI is the \"Mes
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RAFT-Net is a Fault Tolerant Parallel Distributed Framework. Using a Master-Worker scheme, the framework transparently distributes workunits to workers (drones). These workers can join and leave and as such, the network is very flexible. A modified
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TOP-C is a library for easily writing parallel applications for both distributed and shared memory architectures. It hides the details of parallel programming, and presents the application programmer with a simple task-oriented interface.
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The BCR flavor of Cooperative Data Sharing (CDS) is a scalable, portable, flexible C-based API and daemon for initiating and communicating between processes/threads in uniprocessor and multiprocessor (e.g. distributed, SMP, and parallel) platforms.
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