In the age of massive parallelism, the focus of performance analysis has switched from the processor and related structures to the memory and I/O resources. Adapting to this new reality, a performance analysis tool has to provide a way to analyze resource usage to pinpoint existing and potential problems in a given application. This paper provides an overview of the Memory Observant Data Analysis (MODA) tool, a memory-centric tool first implemented on the Cray XMT supercomputer. Throughout the paper, MODA's capabilities have been showcased with experiments done on matrix multiply and Graph-500 application codes.
Revised: July 24, 2014 |
Published: June 29, 2012
Citation
Shrestha S., C. Su, A.M. White, J.B. Manzano Franco, A. Marquez, and J.T. Feo. 2012.MODA A Framework for Memory Centric Performance Characterization. In Workshop on High-performance Infrastructure for Scalable Tools (WHIST), June 29, 2012, Venice, Italy. New York, New York:Association for Computing Machinery.PNNL-SA-91114.