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1

PARUS

Dataflow parallel programming language for clusters

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.

Downloads: 0 This Week

Last Update: 2015-07-13
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2

underlayer

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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Last Update: 2013-03-22
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3

MPI Mergesort

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

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Last Update: 2014-04-23
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4

SAFAPP-PHASE

The Portable Highly Available Sensors (PHASE) project aims at creating an example application that demonstrates the usage of Application Interface Specification service interfaces of the Service Availability Forum.

Downloads: 0 This Week

Last Update: 2013-04-23
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