2003Unpublished venueRequires access

Guidelines for data-parallel cycle-stealing in networks of workstations. II. On maximizing guaranteed output

Arnold L. Rosenberg

Open publisher page 3 citations

Abstract

For pt. I see 12th IEEE Intl. Parallel Proc. Symp., p. 519-23 (1998). We derive efficient guidelines for scheduling data-parallel computations within a draconian mode of cycle-stealing 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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What this paper is about

For pt. I see 12th IEEE Intl. Parallel Proc. Symp., p. 519-23 (1998). We derive efficient guidelines for scheduling data-parallel computations within a draconian mode of cycle-stealing 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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Available abstract

For pt. I see 12th IEEE Intl. Parallel Proc. Symp., p. 519-23 (1998). We derive efficient guidelines for scheduling data-parallel computations within a draconian mode of cycle-stealing 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.

Key concepts: Workstation, Computer science, Scheduling (production processes), Processor scheduling, Computation, Parallel computing, Distributed computing, Operating system

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