Abstract
The basic purpose of application performance tools, are to help the user identify whether or not their application is running efficiently on the computing resources available. However, the increasing system software and architecture complexity, as well as the scale of the current and future high end supercomputers, bring a new set of challenges to today’s performance tools. In order to be able to achieve high performance on these peta-scale computing systems, users need a new infrastructure for performance analysis that can handle the challenges associated with heterogeneous architectures with multiple levels of parallelism, hundreds of thousands of computing elements, and novel programming paradigms. In this paper we present the Cray Performance Analysis Tools, which is set on an evolutionary path to address the application performance analysis challenges associated with these massive computing systems.
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DeRose, L., Homer, B., Johnson, D., Kaufmann, S., Poxon, H. (2008). Cray Performance Analysis Tools. In: Resch, M., Keller, R., Himmler, V., Krammer, B., Schulz, A. (eds) Tools for High Performance Computing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68564-7_12
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DOI: https://doi.org/10.1007/978-3-540-68564-7_12
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