Abstract
Modern benchmark suites (e.g., SPECCPU2006) take months to simulate. Researchers and practitioners thus use partial simulation techniques for efficiency, and hope to avoid sacrificing accuracy. SimPoint is a popular method of choosing representative parts that approximate an application's entire behavior. The approach breaks an application into intervals, generates a Basic Block Vector (BBV) to represent instructions executed in each interval, clusters the BBVs according to similarity, and chooses a representative interval from themost important clusters. Unfortunately, tools to generate BBVs efficiently have heretofore been widely unavailable for many architectures, especially embedded ones. We develop plugins for both the Qemu and Valgrind dynamic binary instrumentation (DBI) tools, and compare results to those generated by the PinPoints utility. All three methods can deliver under 6% average CPI error on both the SPEC CPU2000 and CPU2006 benchmarks while running under 0.4% of the total applications. Our tools increase the number of architectures for which BBVs can be generated efficiently and easily; they enable simulation points that include operating system activity; and they allow cross-platform collection of BBV information (e.g., generating MIPS SimPoints on IA32). We validate our tools via hardware performance counters on nine 32-bit Intel Linux platforms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
