Automatic performance analysis of hybrid MPI/OpenMP applications
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Evolutions in parallel distributed and network-based processing
Automatic analysis of speedup of MPI applications
Proceedings of the 22nd annual international conference on Supercomputing
A Holistic Approach towards Automated Performance Analysis and Tuning
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
The Scalasca performance toolset architecture
Concurrency and Computation: Practice & Experience - Scalable Tools for High-End Computing
An expert assistant for computer aided parallelization
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
accULL: an OpenACC implementation with CUDA and OpenCL support
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
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Performance analysis is very important to understand the applications' behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.