NASA STTR 2012 Solicitation


PROPOSAL NUMBER: 12-1 T11.01-9737
RESEARCH SUBTOPIC TITLE: Software Framework & Infrastructure Development of Spaceborne Hybrid Multicore/FPGA Architectures

NAME: MaXentric Technologies NAME: University of California, San Diego
STREET: 2071 Lemoine Avenue, Suite 302 STREET: 9500 Gilman Drive
CITY: Fort Lee CITY: La Jolla
STATE/ZIP: NJ  07024 - 6006 STATE/ZIP: CA  92093 - 0407
PHONE: (201) 242-9800 PHONE: (858) 822-2924

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Brandon Beresini
737 Pearl St, Suite 208
La Jolla, CA 92037 - 5063
(650) 455-2746

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Houman Ghajari
2071 Lemoine Avenue, Suite 302
Fort Lee, NJ 07024 - 6006
(858) 272-8800

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 4

Technology Available (TAV) Subtopics
Software Framework & Infrastructure Development of Spaceborne Hybrid Multicore/FPGA Architectures is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
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.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Some NASA applications for the ADN include: software defined radio, video processing, video distribution, autonomous landing, hazard avoidance, image processing, data compression, and general processing and system control.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Some non-NASA applications include: software defined radio, hyperspectral data analysis, surveillance and reconnaissance processing, search and rescue, medical imaging, target tracking, software defined radar, video processing, video distribution, and general embedded manycore processing.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)

Form Generated on 03-28-13 15:21