Parallel Algorithms / Architecture Synthesis, AIZU International Symposium on (1995)
Aizu-Wakamatsu, Fukushima, Japan
Mar. 15, 1995 to Mar. 17, 1995
J. Krammer , Inst. fur Inf., Tech. Univ. Munchen, Germany
O. Hansen , Inst. fur Inf., Tech. Univ. Munchen, Germany
This paper introduces a tool for optimizing programs on massively parallel computing systems. The tool has been implemented for a PowerPC based parallel computing platform. It is scalable with respect to its implementation and an the way it presents performance data. A major feature contributing to the scalable representation of performance data is the ability to focus measurements on points of interest in the program execution by specifying behavioral attributes. Behavioral attributes are given as thresholds to the results of other measurements. Thus a direct link between results of different measurements can be made which enables the user to link global system behavior to the execution of individual program parts.
parallel machines; parallel programming; software performance evaluation; optimising compilers; software tools; scalable performance analysis tool; PowerPC; MPP systems; massively parallel computing systems; optimizing programs; performance data; program execution; behavioral attributes; thresholds; global system behavior; supercomputing
J. Krammer, O. Hansen, "A scalable performance analysis tool for PowerPC based MPP systems", Parallel Algorithms / Architecture Synthesis, AIZU International Symposium on, vol. 00, no. , pp. 78, 1995, doi:10.1109/AISPAS.1995.401352