Ten lectures on wavelets
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
A friendly guide to wavelets
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
DiP: A Parallel Program Development Environment
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
Asserting performance expectations
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Initial Design of a Test Suite for Automatic Performance Analysis Tools
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
High Performance Event Trace Visualization
PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
On-line automated performance diagnosis on thousands of processes
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Wavelet-based phase classification
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
Scalable load-balance measurement for SPMD codes
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Automatic Memory Access Analysis with Periscope
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Tools for scalable parallel program analysis: Vampir NG, MARMOT, and DeWiz
International Journal of Computational Science and Engineering
Automatic structure extraction from MPI applications tracefiles
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
ADP: automated diagnosis of performance pathologies using hardware events
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
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In this paper we present an automatic system able to detect the internal structure of executions of high-performance computing applications. This automatic system is able to rule out non-significant regions of executions, to detect redundancies, and, finally, to select small but significant execution regions. This automatic detection process is based on spectral analysis (wavelet transform, Fourier transform, etc.) and works detecting the most important frequencies of the applicationâ聙聶s execution. These main frequencies are strongly related to the internal loops of the applicationâ聙聶s source code. The automatic detection of small but significant execution regions shown in the paper reduces the load of the performance analysis process remarkably.