EPSRC Reference: |
GR/K85704/01 |
Title: |
FEEDBACK-GUIDED AFFINITY LOOP SCHEDULING FOR MULTIPROCESSORS |
Principal Investigator: |
Gurd, Professor JR |
Other Investigators: |
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Department: |
Computer Science |
Organisation: |
Victoria University of Manchester, The |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1996 |
Ends: |
31 May 1999 |
Value (£): |
105,490
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Summary on Grant Application Form |
Many scientific applications, perhaps involving the numerical solution in time of a parabolic PDE or the iterative solution of a non-linear elliptic PDE, consist of (an) inherently sequential outer loop(s) and one, or more, parallelisable inner loops over a regular grid. To efficiently exploit a parallel machine for such problems it is necessary to maintain a balanced load over the parrallelisable inner loops, without sacrificing the data locality of the computations of these inner loops. To our knowledge there are no load balancing algorithms that address successfully this tension between maintaining a balanced load and maintaining data locality. We propose to design and analyse algorithms to solve this particular load balance problem. Initially we will consider the case of a single parallel loop, after which we will address more complicated scenarios, including nested parallel loops and multiple parallel loops separated by synchronisation points.
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Key Findings |
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Potential use in non-academic contexts |
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Description |
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Summary |
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Date Materialised |
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Project URL: |
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