gridMathematica 7.0
Introduction
gridMathematica combines the power of the world's leading technical computing environment with modern computing clusters and grids to solve the most demanding problems in mathematics, science, engineering, and finance.
gridMathematica can tackle much larger computations than Mathematica, using clusters, multiprocessor machines and computing grids.
gridMathematica provides a quick way to set up and run large calculations by offering a high-level programming language, a vast collection of fast and reliable mathematical algorithms, and easy-to-use parallel programming constructs.
Typical uses of gridMathematica include bioinformatics applications, processing and analysis of large data sets, data mining, and large computations in physics, mathematics, and the life sciences.
gridMathematica increases the power of Mathematica by adding extra computation kernels and automated network-distribution tools.
Extending Mathematica's built-in parallelization capabilities, gridMathematica runs more tasks in parallel, over more CPUs, for faster execution. Whether you distribute tasks over local or remote CPUs or both, process coordination and management is completely automated. Appropriate parallel tasks run faster with no need for code changes. Choose the grid solution that's best for you:
Personal supercomputing is now a reality |
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 Adding four additional computation kernels to the four included in a single-machine Mathematica license, gridMathematica Local is ideal for an individual user who needs a boost of power on a multicore machine. more » |
Parallel computations made easy across a network
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 Providing a network-managed pool of 16 computation kernels, gridMathematica Server can be shared by a group of Mathematica users locally and can run on remote hardware to combine the power of multiple computers. more » |
The easy way to share your hardware |
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 Making it easy for users to find and run Mathematica computation kernels on remote hardware, Wolfram Lightweight Grid Manager can control high-performance clusters or create ad hoc grids from idle machines. more » |