This dissertation describes a new performance modelling system, called the Performance Evaluating Virtual Parallel Machine (PEVPM). It uses a novel bottom-up approach, where submodels of individual computation and communication events are dynamically constructed from data-dependencies, current contention levels and the performance distributions of low-level operations, which define performance variability in the face of contention.
Identifer | oai:union.ndltd.org:ADTP/120990 |
Date | January 2003 |
Creators | Grove, Duncan A. |
Source Sets | Australiasian Digital Theses Program |
Language | English |
Detected Language | English |
Relation | SUA |
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