An extensible timing infrastructure for adaptive large-scale applications

Authors:
Dylan Stark;Gabrielle Allen;Tom Goodale;Thomas Radke;Erik Schnetter
Affiliations:
Center for Computation & Technology, Louisiana State University, Baton Rouge, LA;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA;Max Planck Institute for Gravitational Physics, Albert Einstein Institute, Golm, Germany;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA
Venue:
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Year:
2007

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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.