A Holistic Approach towards Automated Performance Analysis and Tuning
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Experiences in building and scaling an enterprise application on multicore systems
Concurrency and Computation: Practice & Experience
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Our productivity centered performance tuning framework for HPC applications comprises of three main components: (1) a versatile source code, performance metrics, and performance data visualization and analysis graphical user interface, (2) a unique source code and binary instrumentation engine, and (3) an array of data collection facilities to gather performance data across various dimensions including CPU, message passing, threads, memory and I/O. We believe that the ability to decipher performance impacts at the source level and the ability to probe the application with different tools at the same time at varying granularities, while hiding the complications of binary instrumentation, leads to higher productivity of scientists in understanding and tuning the performance of associated computing systems and applications.