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2006
IEEE

A framework to develop symbolic performance models of parallel applications

9 years 8 months ago
A framework to develop symbolic performance models of parallel applications
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the tremendous usefulness of performance models, their construction remains largely a manual, complex, and time-consuming exercise. We propose a new approach to the model construction, called modeling assertions (MA), which borrows advantages from both the empirical and analytical modeling techniques. This strategy has many advantages over traditional methods: incremental construction of realistic performance models, straightforward model validation against empirical data, and intuitive error bounding on individual model terms. We demonstrate this new technique on the NAS parallel CG and SP benchmarks by constructing high fidelity models for the floating-point operation cost, memory requirements, and MPI message volume. These models are driven by a small number of key input parameters thereby allowing efficient desig...
Sadaf R. Alam, Jeffrey S. Vetter
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IPPS
Authors Sadaf R. Alam, Jeffrey S. Vetter
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