Using branch handling hardware to support profile-driven optimization
MICRO 27 Proceedings of the 27th annual international symposium on Microarchitecture
Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture
Exploiting hardware performance counters with flow and context sensitive profiling
Proceedings of the ACM SIGPLAN 1997 conference on Programming language design and implementation
A hardware mechanism for dynamic extraction and relayout of program hot spots
Proceedings of the 27th annual international symposium on Computer architecture
Dynamo: a transparent dynamic optimization system
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Software profiling for hot path prediction: less is more
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
An infrastructure for adaptive dynamic optimization
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach
Mambo: a full system simulator for the PowerPC architecture
ACM SIGMETRICS Performance Evaluation Review - Special issue on tools for computer architecture research
Anomalous path detection with hardware support
Proceedings of the 2005 international conference on Compilers, architectures and synthesis for embedded systems
Improving Region Selection in Dynamic Optimization Systems
Proceedings of the 38th annual IEEE/ACM International Symposium on Microarchitecture
Artemis: practical runtime monitoring of applications for execution anomalies
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation
Accurate, efficient, and adaptive calling context profiling
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation
HotpathVM: an effective JIT compiler for resource-constrained devices
Proceedings of the 2nd international conference on Virtual execution environments
Online optimizations driven by hardware performance monitoring
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications
Trace fragment selection within method-based JVMs
Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Trace-based just-in-time type specialization for dynamic languages
Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation
Proceedings of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications
Breadcrumbs: efficient context sensitivity for dynamic bug detection analyses
PLDI '10 Proceedings of the 2010 ACM SIGPLAN conference on Programming language design and implementation
Precise calling context encoding
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Improving the performance of trace-based systems by false loop filtering
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Dynamic code region (DCR) based program phase tracking and prediction for dynamic optimizations
HiPEAC'05 Proceedings of the First international conference on High Performance Embedded Architectures and Compilers
HQEMU: a multi-threaded and retargetable dynamic binary translator on multicores
Proceedings of the Tenth International Symposium on Code Generation and Optimization
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We present a hardware assisted approach for constructing software traces in binary translation systems. The new approach leverages an enhanced performance monitoring hardware (PMU) with a combination of hardware techniques: branch prediction information, branch trace collection, and a hardware signature representing the calling context. Overall, the combined approach significantly reduces the time and overhead in building traces, while capturing high-quality traces. Our approach significantly reduces the time to build traces, compared to previous research which exploited a sampling PMU mechanism. The calling context signature could also be used in other applications such as debugging, program understanding, security and other optimizations.