DocumentCode :
3025622
Title :
QQ: nanoscale timing and profiling
Author :
Frye, James ; King, James G. ; Wilson, Christine J. ; Harris, Frederick C.
Author_Institution :
Dept. of Comput. Sci. & Eng., Nevada Univ., Reno, NV, USA
fYear :
2005
fDate :
4-8 April 2005
Abstract :
QQ is a tool for timing and memory profiling capable of nanoscale time resolution. Designed to minimize both learning curve and impact on the profiled code, it is platform independent and usable with sequential, distributed, and parallel programs. QQ is invoked via embedded function calls, and outputs event and timing records in a compact binary format. These records can be analyzed by external software packages. QQ obtains timing information from the hardware performance monitoring facilities designed into current microprocessors. Our implementation addresses the IA32 architecture, but the similar facilities of most modern processors allow QQ to readily be ported to other platforms.
Keywords :
embedded systems; parallel architectures; parallel programming; IA32 architecture; QQ tool; embedded function calls; hardware performance monitoring facilities; nanoscale time resolution; parallel programs; Biological system modeling; Biomedical engineering; Brain modeling; Computer science; Hardware; Microprocessors; Monitoring; Nanobioscience; Packaging; Timing; memory use; nanoscale resolution; profiling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
Type :
conf
DOI :
10.1109/IPDPS.2005.369
Filename :
1420224
Link To Document :
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