Interactive SuperComputing


 

Star-P™ and Visual Numerics Solutions


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Solution Overview
Visual Numerics and Interactive Supercomputing have demonstrated breakthrough productivity in programming parallel systems, clusters, and grids. Through the Star-P Connect API link, powerful IMSL libraries from Visual Numerics can be plugged and executed in a task-parallel fashion.

  • Run IMSL Library functions in task-parallel mode
  • Access through MATLAB®® environment
  • Accelerate computations
  • Solve larger problems


Broad Algorithm Coverage

Visual Numerics allows MATLAB® and Star-P customers the ability to tap into IMSL's comprehensive library of algorithms. The IMSL Libraries offer broad platform support and native implementations in C/C++/C#, Java, and Fortran.



Mathematics
  • Linear Algebra
  • Eigensystems
  • Interpolation & Approximation
  • Quadrature
  • Differential Equations
  • Nonlinear Equations
  • Optimization
  • Special Functions
  • Finance & Bond Calculations
Statistics
  • Basic Statistics
  • Time Series & Forecasting
  • Nonparametric Tests
  • Variances, & Covariances
  • Correlations
  • Regression
  • Analysis of Variance
  • Transforms
  • Goodness of Fit
  • Distribution Functions
  • Random Number Generation
  • Neural Networks
Star-P On-Demand

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.

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

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.

Papers & Research  

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