RUSH

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX13CG36P
Agency Tracking Number: 120263
Amount: $124,689.00
Phase: Phase I
Program: STTR
Awards Year: 2013
Solitcitation Year: 2012
Solitcitation Topic Code: T11.01
Solitcitation Number: N/A
Small Business Information
MaXentric Technologies, LLC
NJ, Fort Lee, NJ, 07024-9212
Duns: 145051095
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Brandon Beresini
 Design Engineer
 (650) 455-2746
 beresini@maxentric.com
Business Contact
 Houman Ghajari
Title: Business Official
Phone: (858) 272-8800
Email: houman@maxentric.com
Research Institution
 University of California, San Diego
 Donald Kimball
 9500 Gilman Drive
La Jolla, CA, 92093-92093
 () -
 Domestic nonprofit research organization
Abstract
Space presents a challenging environment for computing. Extended development times and radiation tolerance requirements leave hardware performance a decade or more behind the terrestrial state-of-the-art at the time of deployment. Additionally, once deployed, hardware changes are impractical, encouraging a trend towards increased software programmability. At the same time, topside pressure from application advancements is forcing space-based platforms to improve throughput and latency while reducing power consumption. A popular approach to addressing the tension between these requirements is the heterogeneous processing architecture. By providing multiple hardware tools that optimally support a subset of the anticipated workload, a heterogeneous architecture can offer performance and power solutions to the application developer. However, programming these systems is extremely challenging due to variations in toolsets and data sharing interfaces. As a result, data sharing and dynamic workload scheduling across heterogeneous architectures are often suboptimal and hindered by poor scalability. In this research and development effort, we study the feasibility of unifying a heterogeneous processing platform a unique programming model This platform is called the Assimilation Dynamic Network (ADN). The ADN employs a mesh network and virtual tiles on FPGAs and scalable multicore processors to create a cleaner and innovative programming model.

* information listed above is at the time of submission.

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