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Efficient hardware-based nonintrusive dynamic application profiling

Efficient hardware-based nonintrusive dynamic application profiling Ef cient Hardware-Based Nonintrusive Dynamic Application Pro ling AJAY NAIR, KARTHIK SHANKAR, and ROMAN LYSECKY, University of Arizona Application pro ling ”the process of monitoring an application to determine the frequency of execution within speci c regions ”is an essential step within the design process for many software and hardware systems. Pro ling is often a critical step within hardware/software partitioning utilized to determine the critical kernels of an application. In this article, we present an innovative, nonintrusive dynamic application pro ler (DAProf) capable of pro ling an executing application by monitoring the application ™s short backward branches, function calls, and function returns. The resulting pro le information provides an accurate characterization of the frequently executed loops within the application providing a breakdown of loop executions versus loop iterations per execution. DAProf achieves excellent pro ling accuracy with an average accuracy of 98% for loop executions, 97% for average iterations per execution, and 95% for percentage of execution time. In addition, the presented dynamic application pro ler incurs as little as 11% area overhead compared to an ARM9 microprocessor. DAProf is ideally suited for rapidly pro ling software applications and dynamic optimization approaches such as dynamic hardware/software partitioning http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

Efficient hardware-based nonintrusive dynamic application profiling

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/1952522.1952525
Publisher site
See Article on Publisher Site

Abstract

Ef cient Hardware-Based Nonintrusive Dynamic Application Pro ling AJAY NAIR, KARTHIK SHANKAR, and ROMAN LYSECKY, University of Arizona Application pro ling ”the process of monitoring an application to determine the frequency of execution within speci c regions ”is an essential step within the design process for many software and hardware systems. Pro ling is often a critical step within hardware/software partitioning utilized to determine the critical kernels of an application. In this article, we present an innovative, nonintrusive dynamic application pro ler (DAProf) capable of pro ling an executing application by monitoring the application ™s short backward branches, function calls, and function returns. The resulting pro le information provides an accurate characterization of the frequently executed loops within the application providing a breakdown of loop executions versus loop iterations per execution. DAProf achieves excellent pro ling accuracy with an average accuracy of 98% for loop executions, 97% for average iterations per execution, and 95% for percentage of execution time. In addition, the presented dynamic application pro ler incurs as little as 11% area overhead compared to an ARM9 microprocessor. DAProf is ideally suited for rapidly pro ling software applications and dynamic optimization approaches such as dynamic hardware/software partitioning

Journal

ACM Transactions on Embedded Computing Systems (TECS)Association for Computing Machinery

Published: Apr 1, 2011

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