Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Proceedings of the 14th international conference on Supercomputing
Machine Learning
Performance Contracts: Predicting and Monitoring Grid Application Behavior
GRID '01 Proceedings of the Second International Workshop on Grid Computing
A Callgraph-Based Search Strategy for Automated Performance Diagnosis (Distinguished Paper)
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Scalable analysis techniques for microprocessor performance counter metrics
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Aksum: a performance analysis tool for parallel and distributed applications
Performance analysis and grid computing
Using Information from Prior Runs to Improve Automated Tuning Systems
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Automatic performance debugging of SPMD-style parallel programs
Journal of Parallel and Distributed Computing
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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This paper describes a novel approach to performance analysis for parallel and distributed systems that is based on soft computing. We introduce the concept of performance score representing the performance of code regions that is based on fuzzy logic. We propose techniques for fuzzy-based performance classification. A novel high-level query language is designed to support the search for performance problems by using linguistic expressions. We describe a fuzzy-based bottleneck search, a performance similarity measure for code regions and experiment factors, and performance similarity analysis. Our approach focuses on the support of making soft decisions on evaluation, classification, search and analysis of the performance of parallel and distributed programs.