perform statistical sampling by tak-ing periodic snapshots of a program’s state. Statistical sampling is nonintrusive—unlike binary instrumentation, statistical sampling doesn’t add any lines of code to the appli-cation being tested—but the computing community generally regards this technique as imprecise. It imposes low overhead on a program’s runtime performance and can be used for time-critical experiments, but the measurements derived from statistical sam-pling can contain imprecisions. For exam-ple, without special hardware support, a sampled instruction pointer may not be related to the instruction address that caused a particular sampling event.1,2 Dynamic binary instrumentation, on the other hand, lets program instructions be change...
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Large scale applications developers have many tools at their disposal to optimize and verify their s...
In order to perform meaningful experiments in optimizing compilation and runtime system design, res...
The complexity of modern software makes it difficult to ship correct programs. Errors can cost money...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
Performance evaluation tools enable analysts to shed light on how applications behave both from a ge...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
Robust and powerful software instrumentation tools are es-sential for dynamic program analysis tasks...
Robust and powerful software instrumentation tools are essential for dynamic program analysis tasks ...
This paper describes the DIGITAL Continuous Profiling Infrastructure, a sampling-based profiling sys...
All high-performance production JVMs employ an adaptive strategy for program execution. Methods are ...
International audienceCharacterizing performance is essential to optimize programs and architectures...
Detailed modeling of the performance of commercial applications is difficult. The applications can t...
The time it will take to run a program on a large problem size is estimated by sampling several smal...
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Large scale applications developers have many tools at their disposal to optimize and verify their s...
In order to perform meaningful experiments in optimizing compilation and runtime system design, res...
The complexity of modern software makes it difficult to ship correct programs. Errors can cost money...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
Performance evaluation tools enable analysts to shed light on how applications behave both from a ge...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
Robust and powerful software instrumentation tools are es-sential for dynamic program analysis tasks...
Robust and powerful software instrumentation tools are essential for dynamic program analysis tasks ...
This paper describes the DIGITAL Continuous Profiling Infrastructure, a sampling-based profiling sys...
All high-performance production JVMs employ an adaptive strategy for program execution. Methods are ...
International audienceCharacterizing performance is essential to optimize programs and architectures...
Detailed modeling of the performance of commercial applications is difficult. The applications can t...
The time it will take to run a program on a large problem size is estimated by sampling several smal...
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Large scale applications developers have many tools at their disposal to optimize and verify their s...
In order to perform meaningful experiments in optimizing compilation and runtime system design, res...