The role of instrumentation and mapping in performance measurement
The role of instrumentation and mapping in performance measurement
A Portable Programming Interface for Performance Evaluation on Modern Processors
International Journal of High Performance Computing Applications
Integrated Performance Monitoring of a Cosmology Application on Leading HEC Platforms
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Design and Implementation of a Parallel Performance Data Management Framework
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
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Workload characterization is an important technique that helps us understand the performance of parallel applications and the demands they place on the system. It can be used to describe performance effects due to application parameters, compiler options, and platform configurations. In this paper, workload characterization features in the TAU parallel performance system are demonstrated for elucidating the performance of the MPI library based on the sizes of messages. Such characterization partitions the time spent in the MPI routines used by an application based on the type of MPI operation and the message size involved. It requires a two-level mapping of performance data, a unique feature implemented in TAU. Results from the NPB LU benchmark are presented. We also discuss the use of mapping for memory consumption characterization.