Abstract
Real-time access to accurate and reliable timing information is necessary to profile scientific applications, and crucial as simulations become increasingly complex, adaptive, and large-scale. The Cactus Framework provides flexible and extensible capabilities for timing information through a well designed infrastructure and timing API . Applications built with Cactus automatically gain access to built-in timers, such as gettimeofday and getrusage , system-specific hardware clocks, and high-level interfaces such as PAPI. We describe the Cactus timer interface, its motivation, and its implementation. We then demonstrate how this timing information can be used by an example scientific application to profile itself, and to dynamically adapt itself to a changing environment at run time.
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Stark, D., Allen, G., Goodale, T., Radke, T., Schnetter, E. (2008). An Extensible Timing Infrastructure for Adaptive Large-Scale Applications. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_124
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DOI: https://doi.org/10.1007/978-3-540-68111-3_124
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