International audienceAs software complexity increases, the analysis of code behavior during its execution is becoming more important. Instru- mentation techniques, through the insertion of code directly into binaries, are essential to program analyses such as performance evaluation and profiling. In the context of high-performance parallel applications, building an instrumentation framework is quite challenging. One of the difficulties is due to the necessity to capture coarse grain behavior, such as the execution time of different functions, as well as finer-grain behavior in order to pinpoint performance issues. In this paper, we propose a language, MIL, for the development of program analysis tools based on static binary instrumentation...
Profiling tools, which measure and display the dynamic space and time behaviour of programs, are ess...
Software program optimization for improved execution speed can be achieved through modifying the pro...
The significant gap between peak and realized performance of parallel machines motivates the need fo...
Robust and powerful software instrumentation tools are essential for dynamic program analysis tasks ...
Robust and powerful software instrumentation tools are es-sential for dynamic program analysis tasks...
Dynamic program analysis tools serve many important software engineering tasks such as profiling, de...
The end of chip frequency scaling capacity, due heat dissipation limitations, made manufacturers sea...
During the embedded system development an estimation of software performance on different hardware i...
Static Binary Instrumentation is a technique that allows compile-time program manipulation. In parti...
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
In this paper we present a binary instrumentation methodology to monitor runtime events. We demonstr...
Software performance is considered a major concern when writing efficient code. In the past, develop...
Accuracy, completeness, and performance are all major concerns in the context of dynamic program ana...
The developers of tools for dynamic analysis are faced with choosing from the many approaches to gat...
A dynamic program analysis provides essential information during later phases of an application deve...
Profiling tools, which measure and display the dynamic space and time behaviour of programs, are ess...
Software program optimization for improved execution speed can be achieved through modifying the pro...
The significant gap between peak and realized performance of parallel machines motivates the need fo...
Robust and powerful software instrumentation tools are essential for dynamic program analysis tasks ...
Robust and powerful software instrumentation tools are es-sential for dynamic program analysis tasks...
Dynamic program analysis tools serve many important software engineering tasks such as profiling, de...
The end of chip frequency scaling capacity, due heat dissipation limitations, made manufacturers sea...
During the embedded system development an estimation of software performance on different hardware i...
Static Binary Instrumentation is a technique that allows compile-time program manipulation. In parti...
CPU clock frequency is not likely to be increased significantly in the coming years, and data analys...
In this paper we present a binary instrumentation methodology to monitor runtime events. We demonstr...
Software performance is considered a major concern when writing efficient code. In the past, develop...
Accuracy, completeness, and performance are all major concerns in the context of dynamic program ana...
The developers of tools for dynamic analysis are faced with choosing from the many approaches to gat...
A dynamic program analysis provides essential information during later phases of an application deve...
Profiling tools, which measure and display the dynamic space and time behaviour of programs, are ess...
Software program optimization for improved execution speed can be achieved through modifying the pro...
The significant gap between peak and realized performance of parallel machines motivates the need fo...