Abstract. Tracing parallel programs to observe their performance introduces in-trusion as the result of trace measurement overhead. If post-mortem trace analy-sis does not compensate for the overhead, the intrusion will lead to errors in the performance results. We show that measurement overhead can be accounted for during trace analysis and intrusion modeled and removed. Algorithms developed in our earlier work [5] are reimplemented in a more robust and modern tool, KO-JAK [12], allowing them to be applied in large-scale parallel programs. The ability to reduce trace measurement error is demonstrated for a Monte-Carlo simulation based on a master/worker scheme. As an additional result, we visualize how local perturbation propagates across ...
Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems ar...
Tracing and performance analysis tools are an important component in the development of high perform...
Event tracing of applications under dynamic execution is crucial for performance modeling, optimizat...
Abstract. Performance profiling generates measurement overhead during parallel program execution. Me...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is ev...
Performance analysis tools are an important component of the parallel program development and tuning...
Abstract. Performance analysis tools are an important component of the parallel program development ...
Execution tracing has an observer effect: the act of tracing perturbs program behaviour via its over...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
This paper extends results concerning the recovery of accurate parallel program traces from corrupte...
It is easy to find errors and inefficient parts of a sequential program, by using a standard debugge...
Determining the performance behavior of parallel com-putations requires some form of intrusive traci...
//TRACE1 is a new approach for extracting and replaying traces of parallel applications to recreate ...
Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems ar...
Tracing and performance analysis tools are an important component in the development of high perform...
Event tracing of applications under dynamic execution is crucial for performance modeling, optimizat...
Abstract. Performance profiling generates measurement overhead during parallel program execution. Me...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is ev...
Performance analysis tools are an important component of the parallel program development and tuning...
Abstract. Performance analysis tools are an important component of the parallel program development ...
Execution tracing has an observer effect: the act of tracing perturbs program behaviour via its over...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
This paper extends results concerning the recovery of accurate parallel program traces from corrupte...
It is easy to find errors and inefficient parts of a sequential program, by using a standard debugge...
Determining the performance behavior of parallel com-putations requires some form of intrusive traci...
//TRACE1 is a new approach for extracting and replaying traces of parallel applications to recreate ...
Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems ar...
Tracing and performance analysis tools are an important component in the development of high perform...
Event tracing of applications under dynamic execution is crucial for performance modeling, optimizat...