Dynamic software testing of MPI applications with umpire
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
An infrastructure for adaptive dynamic optimization
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Pin: building customized program analysis tools with dynamic instrumentation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
An API for Runtime Code Patching
International Journal of High Performance Computing Applications
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Valgrind: a framework for heavyweight dynamic binary instrumentation
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
EZTrace: A Generic Framework for Performance Analysis
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
An efficient multi-level trace toolkit for multi-threaded applications
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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High-performance computing relies more and more on complex hardware: multiple computers, multi-processor computer, multi-core processing unit, multiple general purpose graphical processing units... To efficiently exploit the power of current computing architectures, modern applications rely on a high level of parallelism. To analyze and optimize these applications, tracking the software behavior with minimum impact on the software is necessary to extract time consumption of code sections as well as resource usage (e.g., network messages). In this paper, we present a method for instrumenting functions in a binary application. This method permits to collect data at the entry and the exit of a function, allowing to analyze the execution of an application. We implemented this mechanism in EZTrace and the evaluation shows a significant improvement compared to other tools for instrumentation.