Method of up-front load balancing for local memory parallel proc

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3642283, 3642319, 364280, 364281, G06F 946, G06F 1516

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active

049204874

ABSTRACT:
In a parallel processing computer system with multiple processing units and shared memory, a method is disclosed for uniformly balancing the aggregate computational load in, and utilizing a minimal memory by, a network having identical computations to be executed at each connection therein. Read-only and read-write memory are subdivided into a plurality of partitions, and the computational load is subdivided into a plurality of process sets, which function like artificial processing units. Said plurality of process sets is iteratively merged and reduced to the number of processing units without exceeding the balance load. Merger is based upon the value of a partition threshold, which is a measure of the memory utilization. The turnaround time and memory savings of the instant method are functions of the number of processing units available and the number of partitions into which memory is subdivided.

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"Design of a Neural Network Simulator on a Transputer Array", by Gary McIntire, James Villarreal, Paul Baffes, & Monica Rua presented at Space Operations-Automation and Robotics Workship 87, NASA/Johnson Space Center, Houston, TX, 8/5-7/87.
"Performance Tradeoffs in Static and Dynamic Load Balancing Strategies," by M. Ashraf Igbal, Joel G. Saltz and Shahid H. Bokhari, Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, Hampton, Va. 23665, Mar. 1986.

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