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.
On REF CAPO (Computer Aided Parallelization tool) was interfaced with Paraver to support the parallelization of existing sequential codes.
Interfacing Computer Aided Parallelization and Performance Analysis
Proceedings of the International Conference of Computational Science - ICCSO3
Computer Science