SBIR/STTR Research Award

Optimizing and Mapping Tool Chain for FPGA Programming

Award identifier d362824849fed45b4347e472e1722ae94fd20c1c923149a836c2524a29035a3dAwarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$749,928

Program and phase

SBIR · Phase II

Award year

2008

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Defense Advanced Research Projects Agency
Recipient company
Reservoir Labs, Inc.
Proposal award date
2008-05-07
Contract end date
2010-07-30
UEI
J4DVUAMQJMW7
Solicitation number
2006.2
Topic code
SB062-006

Research abstract

Field Programmable Gate Arrays (FPGAs) are an important technology for many DoD and commercial high performance computing applications. A number of supercomputing, workstation, and embedded computing hardware platforms have emerged recently to supply FPGA computing power for these applications. Unfortunately, developing for these platforms is currently a long, difficult and error-prone process. While a number of commercial software tools are emerging to facilitate programming beyond VHDL, the high-level application mapping problem to heterogeneous complexes of general purpose processors and FPGAs is still a complex manual programming task. In this Phase II SBIR project, we will modify the R-Stream® high-level compiler to automatically map programs expressed in C to such heterogeneous complexes. This technology will be applicable to a range of system targets including supercomputers, workstations, and high performance embedded computing systems. R-Stream will emit mapped programs in a “lower-level” language that is used to express computations to be performed on individual FPGAs, as well as the choreography of computation among these devices. Our Phase I project established the feasibility of extending R-Stream for this purpose. The benefit of this project is that it will improve productivity, portability of programming systems employing FPGAs, as well as improved quality of the mappings that are achieved.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

71 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $38,801,244. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.