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.

Electronic publication; full text available in PDF format; abstract in HTML format. 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. Electronic reproduction.[Australia] :Australian Digital Theses Program,2001. xvii, 295 p. : ill., charts (col.) ; 30 cm.

Thesis (B.A.)--Haverford College, Dept. of Computer Science, 2003. / Includes bibliographical references.

Thesis (Ph. D.)--University of Pennsylvania, 1982. / Cover title. Includes bibliographical references.

Thesis (M.B.A.)--University of Hong Kong, 1988.

Thesis (M. Soc. Sc.)--University of Hong Kong, 1986.

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Thesis (PhD)--University of South Australia, 1999