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.
Benchmark results were obtained prior to the implementation of recent software patches and firmware updates intended to address exploits referred to as "Spectre" and "Meltdown". Implementation of these updates may make these results inapplicable to your device or system.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information, see Performance Benchmark Test Disclosure.