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Foundation :: Parallel Computing

Parallel Computing

Parallel computing involves the cooperation of multiple processes, usually on multiple processors, to solve together a single problem. Certain calculations and simulations could not be performed without parallel computing due to processing and memory requirements which exceed resources provided by a single contemporary machine. In addition to enabling resource-challenging simulations, parallel computing is used to reduce the time to complete a calculation. By its nature, parallel software development is disproportionately difficult relative to its sequential counterpart.

Terry Clark, University of Chicago

Available Software

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MATPAR
Parallel extensions to MATLAB

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MPICH
A Portable Implementation of MPI

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ParVox 3
A Parallel Distributed Visualization System for 3D Volume Datasets

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PETSc
The Portable, Extensible Toolkit for Scientific Computation

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Planguages
A parallel model for implementing scientific and engineering applications

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PVM Wrapper
Wraps PVM calls with MPI-1 calls

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Pyramid
Parallel Unstructured Adaptive Mesh Refinement

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ROMIO
A High-Performance, Portable MPI-IO Implementation

Application List
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MATPAR
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MPICH
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ParVox 3
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PETSc
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Planguages
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PVM Wrapper
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Pyramid
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ROMIO

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