Interactive SuperComputing


 
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Industry Solutions: Financial Services

Computing with Star-P is applicable in multiple areas of research and product development in economics and finance industries. Currently used solutions based on Star-P and relevant to the economics and finance industry problems include:

 

Application Areas

  • Portfolio optimization
  • Valuing financial derivatives
  • Credit fraud detection
  • Hedge trading strategies
  • Risk analysis
 

Case Studies

Videos & Demos

Case Study Financial Modeling >
6.5x Speed-Up on 8-P Server

Demonstration Video Star-P Product
Overview >

  • Familiar desktop environment
  • Fine- and course-grained parallelism
  • Leveraging existing codes through the API
  • Code optimization through performance profiler

 

 

other industry solutions

Life Sciences >
Defense & Intelligence >
Semiconductor >
University & Academia >


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Financial Services
Whitepaper:

The Star-P™ Platform in Financial Engineering:

Interactive Parallel Computing for Quantitative Analysts

Star-P enables quantitative analysts using desktop tools such as MATLAB® to operate interactively with parallel computer systems, eliminating the need for re-programming, and accelerating time-to-solution. Analysts preserve their familiar financial engineering workflow, while gaining a quantum leap in performance - for more accurate forecasting, improved risk analysis, more effective trading strategies, and other requirements involving complex algorithms and massive databases.

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