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Solutions for Scientists, Engineers and Analysts

 

The Star-P open software platform delivers revolutionary results to scientists, engineers and analysts by enabling them to transparently use high performance computing resources, using familiar desktop tools such as MATLAB®, Python and many others.

Within most R&D organizations, domain-expert scientists, engineers, and analysts are typically the ones who work with VHLL programming environments to develop new models and algorithms. HPC programming expertise is usually not part of their skill set. However, the increasing scope of required simulations forces the domain experts to go beyond what they could traditionally do within the desktop-based VHLL environments.

Star-P enables VHLL programmers to:

  • Expand the size of problems well beyond the desktop capabilities
  • Expand the computational tools well beyond the functions included in the VHLL environment’s arsenal
  • Speed up computation through the use of parallel computing on clusters of multicore servers as well as hardware-based accelerators
  • Optimize the capabilities of your VHLL computing through the addition of libraries that are right for your task
  • Monitor performance and behavior of the expanded computational environment
  • All that while operating interactively from your familiar desktop/laptop VHLL user interface


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Star-P On-Demand

Application Quiz  
Is Star-P right for your application? Take our short quiz and receive a free technical assessment.

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

Success Stories  
Case studies and customer stories highlighting the challenges and successes of Star-P customers around the world.

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.

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