Financial Engineering Success Stories|Parallel Application Development for MATLAB® and Python Users

Financial Engineering Case Studies

Star-P helps financial researchers and analysts by providing a productivity breakthrough for creating and running large, complex financial simulations. Analysts can focus on delivering the most accurate, comprehensive, and actionable intelligence, without delays or constraints.

Star-P Customer Success Stories in the Financial Engineering field include:

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

Star-P Brochure (PDF)

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