Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

A Parallel Workload Model and its Implications for Processor Allocation

Allen B. Downey

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-96-922
November 1996

http://www.eecs.berkeley.edu/Pubs/TechRpts/1996/CSD-96-922.pdf

We develop a workload model based on the observed behavior of parallel computers at the San Diego Supercomputer Center and the Cornell Theory Center. This model gives us insight into the performance of strategies for scheduling malleable jobs on space-sharing parallel computers. We find that Adaptive Static Partitioning (ASP), which has been reported to work well for other workloads, is inferior to some FIFO strategies that adapt better to system load. The best of the strategies we consider is one that explicitly restricts cluster sizes when load is high (a variation of Sevcik's A+ strategy.


BibTeX citation:

@techreport{Downey:CSD-96-922,
    Author = {Downey, Allen B.},
    Title = {A Parallel Workload Model and its Implications for Processor Allocation},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {1996},
    Month = {Nov},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/1996/5704.html},
    Number = {UCB/CSD-96-922},
    Abstract = {We develop a workload model based on the observed behavior of parallel computers at the San Diego Supercomputer Center and the Cornell Theory Center. This model gives us insight into the performance of strategies for scheduling malleable jobs on space-sharing parallel computers. We find that Adaptive Static Partitioning (ASP), which has been reported to work well for other workloads, is inferior to some FIFO strategies that adapt better to system load. The best of the strategies we consider is one that explicitly restricts cluster sizes when load is high (a variation of Sevcik's A+ strategy.}
}

EndNote citation:

%0 Report
%A Downey, Allen B.
%T A Parallel Workload Model and its Implications for Processor Allocation
%I EECS Department, University of California, Berkeley
%D 1996
%@ UCB/CSD-96-922
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/1996/5704.html
%F Downey:CSD-96-922