PARALLEL PROCESSING WITH CLUSTERED WORKSTATIONS

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$297,748.00
Award Year:
1995
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Agency Tracking Number:
27421
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Architecture Technology Corp.
Po Box 24344, Minneapolis, MN, 55424
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Ranga S Ramanujan
(612) 935-2035
Business Contact:
() -
Research Institution:
n/a
Abstract
NOWADAYS, MOST ORGANIZATIONS USE WORKSTATIONS THAT ARE ATTACHED TO A NETWORK TO CONDUCT THEIR DAILY OPERATIONS. THE USE OF A CLUSTER OF THESE WORKSTATIONS AS A PARALLEL PROCESSING SYSTEM CAN PROVIDE A VERY POWERFUL COMPUTATIONAL CAPABILITY AT A VERY LOW COST. HOWEVER, THE MAJOR IMPEDIMENT TO THE USE OF EXISTING TECHNIQUES FOR CLUSTERING WORKSTATIONS INTO A PARALLEL PROCESSOR IS THE EXCESSIVE PERFORMANCE OVERHEAD INCURRED BY THESE TECHNIQUES. EXISTING TECHNIQUES DELIVER ONLY A SMALL FRACTION OF THE POTENTIAL COMPUTATIONAL POWER OF A CLUSTER OF WORKSTATIONS. RESEARCHERS ARE ADDRESSING A NEW APPROACH FOR CLUSTERING WORKSTATIONS CALLED THE NETWORK SHARED MEMORY APPROACH THAT IS ATTRACTIVE BECAUSE OF THREE REASONS: (1) IT IS CAPABLE OF DELIVERING PERFORMANCE THAT IS AT LEAST AN ORDER OF MAGNITUDE BETTER THAN THAT ATTAINABLE USING EXISTING TECHNIQUES FOR CLUSTERING WORKSTATIONS; (2) IT GREATLY SIMPLIFIES THE PROGRAMMING TASK BY PROVIDING A SHARED MEMORY ABSTRACTION TO THE PROGRAMMER; AND (3) THE COST OF ATTAINING THIS PERFORMANCE AND PROGRAMMABILITY IS SEVERAL TIMES LOWER THAN THAT OF COMMERCIALLY AVAILABLE SHARED MEMORY PARALLEL PROCESSORS OF COMPARABLE COMPUTING POWER.

* information listed above is at the time of submission.

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