MPI and Scalable Distributed Machine Learning

July 13, 2016 Rob Farber MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. The Intel MPI implementation is a core technology in the Intel Scalable System Framework that provides programmers a “drop-in” MPICH replacement library that can deliver the performance benefits of the Intel Omni-Path Architecture (Intel OPA ) communications fabric plus high core count Intel Xeon and Intel Xeon Phi processors. “Drop-in” literally means that programmers can set an environmental variable to dynamically load the highly tuned and optimized Intel MPI library – no recompilation required! Of course, Intel’s MPI library supports other communications fabrics including InfiniBand as well. Programmers can also recompile using the Intel MPI library to transition from OpenMPI and other non-MPICH binaries. Training a…

Link to Full Article: MPI and Scalable Distributed Machine Learning

Pin It on Pinterest

Share This