Interactive SuperComputing
Breakthrough Performance for MATLAB®, Python and Other Desktop Applications!

Get the White Paper
Research Report: Use of Python in Technical Computing

Excerpt from this report:

The purpose of this document is to report a snapshot of Python usage. This snapshot includes information regarding application areas, types of computation, user characteristics, performance issues, and unmet needs. In addition, it assesses the current state of high performance computing (HPC) resource use within the Python community and whether technical users would benefit from boosts in performance of their codes.

Get the White Paper
 
Fill out this quick form to receive download details!
Which language are you most interested in parallelizing with Star-P:        MATLAB®            Python        R Language
First Name: *
Last Name: *
Company/Organization: *
Email: *
(Please note: we will email access info
to this address)
Phone: *
State/Province: * (Required for U.S.)
Country: *



 

White Paper Library  
Discover how Star-P users are experiencing a 10X-100X performance increase.

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!

phone Have a Salesperson Call Me (US/Canada)

How to Buy >

Request Information >

Newsletter Sign-up >