Interactive SuperComputing


 
Managing Star-P®

 

The Star-P system is composed of five functional modules, as shown below. Administration Server and User/Admin data base are optional.


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Supported Configurations
Star-P works with a variety of system configurations, as illustrated below:


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The range of system configurations supported by Star-P™ is constantly evolving.

Currently Supported Configurations >

 

Check – Install – Check Again – Go
The process of installing Star-P™ consists of a few simple steps:

Step 1: Verifying Star-P compatibility >

Step 2: Installing the Star-P Client and Server software

Step 3: Installing the Star-P Administration manager software (optional)

Step 4: Starting Star-P

Step 5: Checking installation success

 

Administration Manager
The optional Star-P Administration server is a database-backed web server that contains configuration information specific to a given Star-P installation. Typically, there is a single Administration server for each site.

 

Working with Firewalls
In some deployment configurations, Star-P client and server are separated by a firewall. Star-P supports client-server connectivity through firewalls, via SSH tunneling.

 

Working with Workload Managers
Star-P works with generic workload managers controlling the usage of servers and clusters. Specifics depend on the type of workload manager.

 

 
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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