Interactive SuperComputing


 
 

Apply for a Trial Account

Before applying, check the compatibility page to ensure that your system and software are compatible with Star-P.

Interactive Supercomputing and our partners work hard to make Star-P On-Demand as easy to use as possible. The benefits of a trial account are:

  1. Pay nothing to start
  2. Use 20 core hours of compute time
  3. Access the Linux clusters
  4. Learn the basics of Star-P and experience the environment
  5. Use the trial to evaluate the service
  6. 10 GB of storage space for your files
  7. Web and email support during the evaluation period

Please complete all areas below. You will receive a response within 24 hours.

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Star-P On-Demand

Apply for Trial Account >

Pricing and availability >

System Requirements/Compatibility >

"How it works" (our Partner TTI ) >

Security Overview >

Star-P On-Demand FAQ >


"Tapping into compute resources with a simplicity equal to plugging a lamp into an outlet has been a goal of pervasive computing efforts from the start. Known as utility computing, the idea is to provide unlimited computing power and storage capacity that can be used and reallocated for any application - and billed on a pay-per-use basis."
        - Dan Neel.

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!

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

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