IDC Buyer Case Study | Parallel Application Development for MATLAB® and Python Users


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Breakthrough Performance for MATLAB®, Python and Other Desktop Applications!

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IDC Buyer Case Study: Star-P at Air Force Research Lab

Excerpt from the IDC Opinion:

The main attributes of the Star-P solution can be summarized as follows:

Helps simplify the process of converting codes written in high-level languages into parallel format so that applications can be run on faster computers, enabling a shorter development cycle.
Brings new sets of customers into the technical computing space so that the existing computing resources can be better utilized.

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White Paper Library
Discover how Star-P users are experiencing a 10X-100X performance increase.

Application Library
See application notes for a broad range of algorithms and models.

Going Parallel Kit
The downloadable kit contains a Case Study, White Paper, and Product Overview.

Star-P Interactive Tour
Online presentations and demos show how Star-P significantly accelerates parallel code development.

IDC Case Study
This IDC Buyer Case Study examines the usage of Star-P at Air Force Research Lab (AFRL).

Key Questions to Ask Your Parallel Software Vendor
Explore the factors to determine the best parallel tool for your unique needs.

Parallel MATLAB® Survey
The survey, published in the Proceedings of the IEEE, reviews 27 parallel MATLAB® projects.

FREE Technical Assessment!
Get a free technical assessment on parallelizing your desktop code!

Star-P Brochure (PDF)

Star-P + MATLAB® Data Sheet (PDF)

MATLAB® functions (PDF)

MATLAB® Toolbox functions (PDF)

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