Interfacing computer aided parallelization and performance analysis

Authors:
Gabriele Jost;Haoqiang Jin;Jesus Labarta;Judit Gimenez
Affiliations:
NASA Ames Research Center, Moffett Field, CA;NASA Ames Research Center, Moffett Field, CA;European Center for Parallelism of Barcelona, Technical University of Catalonia, Barcelona, Spain;European Center for Parallelism of Barcelona, Technical University of Catalonia, Barcelona, Spain
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science
Year:
2003

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Abstract

When porting sequential applications to parallel computer architectures, the program developer will typically go through several cycles of source code optimization and performance analysis. We have started a project to develop an environment where the user can jointly navigate through program structure and performance data information in order to make efficient optimization decisions. In a prototype implementation we have interfaced the CAPO computer aided parallelization tool with the Paraver performance analysis tool. We describe both tools and their interface and give an example for how the interface helps within the program development cycle of a benchmark code.