RUSH

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$124,689.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
NNX13CG36P
Award Id:
n/a
Agency Tracking Number:
120263
Solicitation Year:
2012
Solicitation Topic Code:
T11.01
Solicitation Number:
n/a
Small Business Information
NJ, Fort Lee, NJ, 07024-9212
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
145051095
Principal Investigator:
Brandon Beresini
Design Engineer
(650) 455-2746
beresini@maxentric.com
Business Contact:
Houman Ghajari
Business Official
(858) 272-8800
houman@maxentric.com
Research Institute:
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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