ATOM: a system for building customized program analysis tools
PLDI '94 Proceedings of the ACM SIGPLAN 1994 conference on Programming language design and implementation
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications
Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques
SMARTS: accelerating microarchitecture simulation via rigorous statistical sampling
Proceedings of the 30th annual international symposium on Computer architecture
Picking Statistically Valid and Early Simulation Points
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
Pinpointing Representative Portions of Large Intel® Itanium® Programs with Dynamic Instrumentation
Proceedings of the 37th annual IEEE/ACM International Symposium on Microarchitecture
Characterizing and Comparing Prevailing Simulation Techniques
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
Pin: building customized program analysis tools with dynamic instrumentation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Visualization and analysis of phased behavior in Java programs
Proceedings of the 3rd international symposium on Principles and practice of programming in Java
An API for Runtime Code Patching
International Journal of High Performance Computing Applications
MinneSPEC: A New SPEC Benchmark Workload for Simulation-Based Computer Architecture Research
IEEE Computer Architecture Letters
QEMU, a fast and portable dynamic translator
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Valgrind: a framework for heavyweight dynamic binary instrumentation
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
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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.