According to the Exascale Computing Project (ECP), exascale supercomputers will process a quintillion (1018) calculations each second, which more realistically simulates the processes involved in precision and compute-intense uses such as medicine, manufacturing, and climate sciences. And with ECP’s goal to launch such a computationally powerful ecosystem in the US by 2021, the march to Exascale is more like a sprint.
Essential to this type of implementation is the development, tuning, and scaling of message-passing interface (MPI) applications—providing more nodes with more cores and more threads, all interconnected by high-speed fabric.
Note The MPICH* source base from Argonne National Labs—the basis for Intel® MPI Library—has been updated.
In this webinar, overcoming MPI inefficiencies at scale is addressed, including:
- How the Intel MPI Library optimizes the MPICH source
- How Application Performance Snapshot—part of Intel® VTune™ Profiler—can help you quickly understand how your distributed and shared memory applications are performing, and where you can focus your optimization effort
Software development engineer, Intel Corporation
Dmitry is a senior software engineer on the Intel MPI Library team at Intel Corporation. He is one of the lead developers and his current main focus is a full-stack MPI product optimization for new Intel platforms (Intel® Xeon® Scalable processors, Intel® Xeon Phi™ processors, and Intel® Omni-Path Architecture).