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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
ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery
Published: Apr 1, 2011
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