Industry Solutions|Parallel Application Development for MATLAB, Python and R Users

Industry Solutions: Financial Services

Computing with Star-P is applicable in multiple areas of research and production in economics and finance industries. Solutions based on Star-P 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

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

Star-P Product
Overview >

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

News & Articles

"Credit Modeling with Supercomputing"
From HPC Wire, Sept. 14, 2007 >

"New Star-P for Financial Services brings supercomputing to Wall Street"
From Automated Trader Magazine, Sept. 10, 2007 >

"Better Credit Modeling with Supercomputing"
From Wall Street Technology Blog,
Sept. 6, 2007 >

"Star Power: Dan Tudball talks to Interactive Supercomputing, the developers of Star-P – a high performance computing solution for the desktop-bound"
Wilmott magazine, March ’07 >

"With Star-P, not only can we create accurate, realistic models and compute the answers we need quickly, we can continually experiment with new financial algorithms and models with real-time interactivity."

Peter Cotton
CEO of Julius Finance

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

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.

Click for access >