SBIR/STTR Research Award

Convenient multi-architecture high-performance computing

Award identifier 5ae67a22d2b4ed3ecc7b48c66eb446977789c9b0c16d50f863df21e3e47413fbAwarding agency Department of Energy

Award amount

$149,922

Program and phase

SBIR · Phase I

Award year

2015

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 Energy
Branch
Not reported
Recipient company
TECH-X CORPORATION
Proposal award date
2015-02-17
Contract end date
2015-11-16
UEI
VJ7GKNR3MEM3
Solicitation number
DE-FOA-0001164
Topic code
02c

Research abstract

Statement of the problem or situation that is being addressed throughout Phase I of your proposal Modern computer hardware relies heavily on parallelism, concurrency, vectorization, and heterogeneity to achieve high performance. Software that is not able to exploit these hardware characteristics is limited to a minuscule fraction of the theoretical peak performance of a computer, be it a large supercomputer, a workstation, or a laptop. Therefore, performance portability of software is now a critical (but nontrivial aspect of hardening R&D codes for industrial use. This Phase I proposal proposes methods for achieving performance portability in VSim, a DOE funded research code for electromagnetic particle-in-cell simulations. General statement of how this problem is being addressed We will develop computational kernels tuned for speci c target computer hardware including the Intel Xeon Phi coprocessor as well as modern CPUs. We will develop Software to automatically dispatch computations to the most appropriate kernels for the hardware available to the end user. What is to be done in Phase I? During Phase I we will develop a mechanism for detecting available computer hardware and the hardware characteristics at runtime. We will optimize core computational kernels for electromagnetic solvers for the Intel Xeon Phi and CPUs. Base on the detected hardware, computation is then dispatched to the most appropriate kernel. From the user perspective, this will lead to automatic performance portability on a wide variety of hardware. We will quantify the performance improvements through performance measurements, pro ling, and benchmarking. Commercial applications and other bene ts The performance improvements and ease of use achieved through this project will lead to faster turnaround times for simulations. This will have a positive impact on the productivity of computer aided engineering (CAE) users. In addition, the improved performance facilitate qualitatively new applications of the VSim simulation software including design optimization. Key words Intel Xeon Phi, Performance optimization, Vectorization, Parallelism, Heterogeneous computing, Next gen- eration hardware. Summary for Members of Congress Tech-X Corporation will develop software that runs optimally on a a wide spectrum of modern computer hardware to enable computer aided engineering and scienti c research.

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

299 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $109,779,617. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Defense, National Aeronautics and Space Administration, Department of Education, Department of Commerce

Agency intelligence

Department of Energy

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.