NDLI: Dynamic trace selection using performance monitoring hardware sampling

Content Provider	ACM Digital Library
Author	Yew, Pen-Chung Chen, Howard Hsu, Wei-Chung Lu, Jiwei Chen, Dong-Yuan
Abstract	Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, programs can be adapted to better exploit architectural features, optimize the use of dynamic libraries, and simplify code based on run-time constants.Our profiling system provides a framework for collecting information required for performing run-time optimization. We sample the performance hardware registers available on an ltanium processor, and select a set of code that is likely to lead to important performance-events. We gather distribution information about the performance-events we wish to monitor, and test our traces by estimating the ability for dynamic patching of a program to execute run-time generated traces.Our results show that we are able to capture 58% of execution time across various SPEC2000 integer benchmarks using our profile and patching techniques on a relatively small number of frequently executed execution paths. Our profiling and detection system overhead increases execution time by only 2--4%.
Starting Page	79
Ending Page	90
Page Count	12
File Format	PDF
ISBN	076951913X
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-03-23
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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Dynamic trace selection using performance monitoring hardware sampling