Interactive SuperComputing


 
Using Star-P®

 

How Do Scientists, Engineers, and Analysts use Star-P?
A VHLL programmer, using the combined VHLL and Star-P environment, works within the familiar VHLL programming paradigm. It’s still the same editor, the same GUI, the same visualization, the same command line prompt. The only difference is the addition of a small set of Star-P commands.

The Star-P commands are simply inserted into the serial VHLL code to convert it for parallel computation. Either using the usual VHLL editor to modify a VHLL program file or, as individual commands entered at the VHLL command line prompt.

Adding Star-P Commands to Serial VHLL Code (a MATLAB® example)


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Star-P Executes VHLL Code and Star-P Commands
When a VHLL program code is executed in the combined Star-P + VHLL environment, Star-P analyzes and executes the code statements line by line.

Processing of VHLL Functions and Star-P Commands


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The processing shown in the figure above has been designed specifically for interactive parallel programming and computing by scientists, engineers, and analysts. It is Star-P unique, VHLL-independent, and maps naturally to multiple VHLL environments.

 

Star-P Commands
Star-P server software executes VHLL-specific computing functions, and add-on functions, in parallel, as directed by the simple set of Star-P commands. The Star-P commands also support data-related operations as well as development utilities and environment control operations.

Star-P offers a simple, yet comprehensive set of commands to a VHLL user. This set of commands—which can be thought of as a Star-P to VHLL user interface— is VHLL independent and maps easily to the multiple VHLL environments working with Star-P platform.

Using Star-P Commands with VHLL Environments


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All Star-P commands can be used in a VHLL program files or entered directly at the VHLL environment’s user interface command prompt.

 
Accelerate your MATLAB, Python and R code

Star-P On-Demand

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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