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Foundation :: Parallel Computing
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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 |
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Parallel extensions to MATLAB
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MPICH |
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A Portable Implementation of MPI
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ParVox 3 |
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A Parallel Distributed Visualization System for 3D Volume Datasets
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PETSc |
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The Portable, Extensible Toolkit for Scientific Computation
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Planguages |
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A parallel model for implementing scientific and engineering applications
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PVM Wrapper |
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Wraps PVM calls with MPI-1 calls
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Pyramid |
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Parallel Unstructured Adaptive Mesh Refinement
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ROMIO |
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A High-Performance, Portable MPI-IO Implementation
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