SBIR/STTR Research Award

A SOFTWARE IMPLEMENTED FAULT-TOLERANCE (SIFT) LAYER FOR RELIABLE COMPUTING ON MASSIVELY PARALLEL COMPUTERS

Award identifier b42517e937a61339fa64274f3b75ec5c7ad06101ad6717e9abc246418a18db27Awarding agency National Science Foundation

Award amount

$48,910

Program and phase

SBIR · Phase I

Award year

1994

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
Reliable Computer Technology
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THERE IS A COMMON MISCONCEPTION THAT MASSIVELY PARALLEL COMPUTERS ARE NATURALLY RELIABLE, FAULT-TOLERANT, AND RECONFIGURABLE BECAUSE OF THEIR ABUNDANCE OF RESOURCES. IN FACT, THE ONLY ATTRIBUTE GAINED BY MULTIPLE PROCESSORS IS A HIGHER TOTAL FAILURE RATE. HOWEVER, DESIGNERS ARE LARGELY IGNORING THIS ISSUE TO CONCENTRATE ON THE CONSTRUCTION OF SYSTEMS WITH PEAK PERFORMANCE BEYOND THE TERAFLOP BOUNDARY. THE RESULT IS THE DEVELOPMENT OF SEVERAL GENERATIONS OF UNRELIABLE MASSIVELY PARALLEL COMPUTERS THAT ARE UNSUITABLE FOR THE STRICT DEMANDS OF THE COMMERCIAL MARKETPLACE. RESEARCHERS ARE DEVELOPING THE SOFTWARE IMPLEMENTED FAULT-TOLERANCE (SIFT) LAYER FOR THE PURPOSE OF ENHANCING THE RELIABILITY AND AVAILABILITY OF APPLICATIONS RUNNING ON MASSIVELY PARALLEL COMPUTERS. THE SIFT LAYER HANDLES THE REQUISITE DETECTION, RECONFIGURATION, ROUTING, AND RECOVERY TECHNIQUES NECESSARY FOR PROTECTION AGAINST HARDWARE FAULTS, TRANSPARENT TO USER APPLICATIONS. THE MARKET POTENTIAL FOR THIS PRODUCT IS VERY PROMISING, BECAUSE WITH THE CURRENT COSTS OF MASSIVELY PARALLEL COMPUTERS IN THE TENS OF MILLIONS, EVEN A SMALL IMPROVEMENT IN RELIABILITY WILL MEAN CONSIDERABLE SAVINGS TO THE CONSUMER.

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.