English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

An Extensible Timing Infrastructure for Adaptive Large-scale Applications

MPS-Authors
/persons/resource/persons20668

Radke,  Thomas
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)

0705.3015v1.pdf
(Preprint), 294KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Stark, D., Allen, G., Goodale, T., Radke, T., & Schnetter, E. (2007). An Extensible Timing Infrastructure for Adaptive Large-scale Applications. In R. Wyrzykowski, & al. (Eds.), Parallel processing and applied mathematics: 7th international conference, PPAM 2007 (pp. 1170-1179). Springer.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-49DE-2
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.