//TRACE1 is a new approach for extracting and replaying traces of parallel applications to recreate their I/O behav-ior. Its tracing engine automatically discovers inter-node data dependencies and inter-I/O compute times for each node (process) in an application. This information is re-flected in per-node annotated I/O traces. Such annota-tion allows a parallel replayer to closely mimic the be-havior of a traced application across a variety of stor-age systems. When compared to other replay mecha-nisms, //TRACE offers significant gains in replay accu-racy. Overall, the average replay error for the parallel applications evaluated in this paper is below 6%.
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
Supercomputing is a key technological pillar of modern science and engineering, indispensable for so...
Tracing software execution is an important part of understanding system performance. Raw CPU power h...
Replaying traces is a time-honored method for benchmarking, stress-testing, and debugging systems—an...
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. Tracing parallel programs to observe their performance introduces in-trusion as the result...
This paper extends results concerning the recovery of accurate parallel program traces from corrupte...
A powerful technique for understanding the behavior and performance of parallel programs is the visu...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance analysis tools are an important component of the parallel program development and tuning...
Tracing and performance analysis tools are an important component in the development of high perform...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
Clusters of shared-memory symmetric multiprocessors are increasingly used for high performance...
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...
Supercomputing is a key technological pillar of modern science and engineering, indispensable for so...
Tracing software execution is an important part of understanding system performance. Raw CPU power h...
Replaying traces is a time-honored method for benchmarking, stress-testing, and debugging systems—an...
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. Tracing parallel programs to observe their performance introduces in-trusion as the result...
This paper extends results concerning the recovery of accurate parallel program traces from corrupte...
A powerful technique for understanding the behavior and performance of parallel programs is the visu...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance analysis tools are an important component of the parallel program development and tuning...
Tracing and performance analysis tools are an important component in the development of high perform...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
Clusters of shared-memory symmetric multiprocessors are increasingly used for high performance...
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...
Supercomputing is a key technological pillar of modern science and engineering, indispensable for so...
Tracing software execution is an important part of understanding system performance. Raw CPU power h...