SBIR/STTR Research Award

STTR Phase I: Fault-Tolerant MPI: An Enabling Strategy, Product Concept, and Enhancement of Production Cluster Computing

Award identifier 3951b01c28bf075afbb8fbcf71c97996b48930d6f19a76426a4778a26cf510e1Awarding agency National Science Foundation

Award amount

$99,958

Program and phase

STTR · Phase I

Award year

2004

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
National Science Foundation
Branch
Not reported
Recipient company
MPI SOFTWARE TECHNOLOGY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Technology Transfer Research (STTR) Phase I proposal proposes to develop a scalable, fault-tolerant and reliable message-passing interface. MPI-2 is a key technology for the next several years in enabling scalable parallel computing on massively parallel machines and Beowulf clusters. Fault-tolerance is absent in both the MPI-1 and MPI-2 standards, and no satisfactory products or research results offer an effective path to providing production scalable computing applications with effective fault-tolerance. This proposal addresses fault-tolerance in both the MPI-1 and MPI-2 standards, with attention to key application classes, fault-free overhead, and checkpoint-restart strategies. It connects the resource management infrastructure in use by many types of MPI users in science and industry with the fault-tolerant mechanisms, to be useful in practical scientific computing. If successful this product will provide key new capabilities to parallel programs, programmers, and cluster systems, including the enhancement of existing commercial applications based on MPI, such as CFD applications. The proposed effort is the first towards realizing a fault-tolerant MPI-2, a technology that would be exploited by scientists and engineers across the spectrum, since parallel computing based on MPI is a widespread enabler of scientific discovery. The project expects to increase the adoption of MPI-2, as well as higher productivity parallel computing for clusters and potentially for the grid. The computer science and engineering experience gained through this work will enable better interoperation of MPI implementations and resource allocators, which in turn will further enable efficient production parallel computing. The optimizations targeted at the popular recovery mechanisms, for key classes of applications, can be applied to any middleware and hence would result in improving the performance of applications in general.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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.