Effective Multi-core Software Development

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-08-C-0161
Agency Tracking Number: 07SB2-0163
Amount: $99,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: SB072-010
Solicitation Number: 2007.2
Small Business Information
6290 Firethorn Lane, Clarksville, MD, 21029
DUNS: 604139720
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Donald Davis
 (301) 854-3237
Business Contact
 Donald Davis
Title: President
Phone: (301) 854-3237
Email: ddavis@alloycomputing.com
Research Institution
Multi-core processors pose a significant challenge for software application developers. This is because the vast majority of algorithms and applications have been - and continue to be - developed using methodologies and techniques that assume sequential runtime execution. The key to efficiently and effectively leveraging multi-core processors is the ability to expose, extract, and exploit concurrency at the application level. This requires a profound change in the way that software applications are designed and implemented. Our goal is to provide a compelling, integrated tool suite to address the compute, embedded, and realtime challenges facing multi-core software application developers. Our approach is to focus on a methodology and tools that address analysis, visualization, and automation of multi-core application development. We envision a suite of tools that can ingest a software application written in C or C++ and provide a comprehensive analysis of the program structure, flow, and dependencies. This analysis will provide the developer with the insight needed to make effective choices when creating or adapting applications for concurrent execution. In addition, the tools will automate the implementation of the programming constructs necessary to realize concurrent processing. This tool suite will revolutionize developer effectiveness and application performance for multi-core targeted software.

* Information listed above is at the time of submission. *

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