Image & Signal Processing Success Stories|Parallel Application Development for MATLAB, Python and R Users

Image & Signal Processing Case Studies

Image & Signal Processing is indispensable in multiple areas of research and engineering, including life sciences, defense, aerospace, etc. Star-P enables researchers working in these fields to rapidly experiment with and develop new algorithms, working interactively with real-life data sets, greatly exceeding desktop capabilities.

Star-P Customer Success Stories in the Image & Signal Processing field include:

Computational Ecology at University of California at Santa Barbara

image segmentation with the Insight Toolkit (ITK)

singular value decomposition (SVD) data processing

Accelerate your MATLAB, Python and R code

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.

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

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!

Report Download: Development of Custom Parallel Applications
The study covers HPC programming environment, tools, and challenges.

Star-P Brochure (PDF - 3MB)

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