DOE OSTI · 1148644
MODA A Framework for Memory Centric Performance Characterization
Abstract
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.
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Shrestha, Sunil, Su, Chun-Yi, White, Amanda M., Manzano Franco, Joseph B., Marquez, Andres, Feo, John T.. 2012-06-29. MODA A Framework for Memory Centric Performance Characterization. https://www.osti.gov/biblio/1148644
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