Publication Date

1999

Abstract

We derive efficient guidelines for scheduling dataparallel computations within a draconian mode of cyclestealing in networks of workstations wherein an interruption by the owner of the “borrowed” workstation kills all jobs currently in progress. We derive both adaptive and non-adaptive scheduling guidelines that maximize, up to low-order additive terms, the amount of work that one is guaranteed to accomplish during a cycle-stealing opportunity, no matter when the opportunity is interrupted—up to a prespecified number of times.

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