Fast, Lightweight, Scalable MPI Performance Analysis


Developers of modern high performance computing (HPC) applications face a challenge when scaling out their hybrid (MPI/OpenMP*) applications. Cluster sizes continue to grow, the amount of analysis data collected can easily become overwhelming when going from tens to thousands of ranks, and it’s tough to identify which are the key metrics to track. There is a need for a visual tool that aggregates the performance data in a simple and intuitive way, provides advice on next optimization steps, and homes in on performance issues. In this webinar, we’ll discuss a brand new tool that helps quickly gather and analyze statistics up to 100,000 ranks. We’ll give examples of the type of information provided by the MPI Performance Snapshot, including memory and counter usage, MPI and OpenMP* imbalance analysis, and total communication vs. computation time. We’ll feature screenshots of the tool running in real time and showcase some of its runtime and filtering capabilities.




Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804