Interactive SuperComputing


 
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Success Stories

Star-P® software allows scientists, engineers and analysts to accelerate "time-to-insight" across a broad set of industries and applications using familiar interactive tools such as MATLAB®, Python, and others. The following application areas lead you to case studies and customer stories highlighting the challenges and successes of Star-P customers around the world.

Financial Engineering
Life Sciences
Image & Signal Processing
Defense & Intelligence
Semiconductor Design
Chemical Engineering
Numerical Methods

Or simply click through to the following selected Star-P customer success stories and case studies:

image processing of MRI brain scans
genomic correlation at the National Cancer Institue
linear algebra
image segmentation with the Insight Toolkit (ITK)
pattern matching
financial modeling
Computational Ecology at University of California at Santa Barbara
singular value decomposition (SVD) data processing
finite element analysis
econometric modeling
Molecular Simulation
radar system design
computational photonics design
sparse matrices and large graphs
high-def ultrasounds