Executing algorithms in computer clusters
A
The Mathworks product story
Edited by the Engineeringtalk editorial team
Nov 19, 2004
The Mathworks has introduced its new Distributed Computing Toolbox, which enables engineers and scientists to execute MATLAB algorithms and Simulink models in a cluster of computers said the company.
The Mathworks has introduced its new Distributed Computing Toolbox, which enables engineers and scientists to execute MATLAB algorithms and Simulink models in a cluster of computers said the company.
The Distributed Computing Toolbox is claimed to dramatically decrease the overall execution time of those applications in which the same algorithm or model is run with different input data.
The company believes this latest development represents a significant step for it in the emerging area of distributed computing.
With the Distributed Computing Toolbox, Matlab and Simulink users can now perform intensive computations with large data sets previously unattainable on a single computer.
In addition, users will be able to control the complete distributed computing process via a standard function-based or object-based interface in the Matlab environment.
"The Distributed Computing Toolbox is a much anticipated product that will enable us to significantly decrease our time-to-solution and increase our productivity", said Ashok Krishnamurthy, director of research and scientific development at the Ohio Supercomputer Centre.
"Now, we can simultaneously execute both our MATLAB and Simulink applications in a multi-processor environment using the Distributed Computing Toolbox," he added.
Engineers, scientists, and researchers can employ the Distributed Computing Toolbox to divide algorithms into independent tasks.
The Matlab Distributed Computing Engine (available as a separate product) evaluates those tasks on remote Matlab sessions and makes the results available to the original MATLAB session.
"This technology is a ground-breaking step to increase the productivity of engineers through distributed computing", said Silvina Grad-Freilich, distributing computing product manager, at The Mathworks.
"With the release of Matlab 7 earlier this year, along with our 64-bit platform support that was also announced today, our customers gained powerful capabilities for managing and analysing larger data sets.
The Distributed Computing Toolbox builds on these advancements and reinforces our commitment to enable customers to solve computationally intensive problems that run on large data sets." The Distributed Computing Toolbox supports the full Matlab language, almost all Mathworks products and all supported Matlab platforms.
The Matlab Distributed Computing Engine can run in either homogeneous or heterogeneous clusters.
Both the toolbox and the engine are currently available from The Mathworks with prices starting at $1,000 US for the toolbox, and $6,000 US for the engine.
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