Interactive SuperComputing


 
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Life Sciences Case Studies

Star-P helps life science researchers dramatically accelerate the time-to-insight, enabling rapid computing experiments from traditionally favored interactive environments, on data samples far exceeding desktop capabilities. Scientists gain better understanding of the links and relationships between genes, drugs and diseases much faster, providing basis for breakthrough discoveries.

Star-P Customer Success Stories in the Life Sciences field include:

image processing of MRI brain scans
genomic correlation at the National Cancer Institue
finite element analysis
image segmentation with the Insight Toolkit (ITK)
Star-P On-Demand

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.

Papers & Research  

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