The Intel® MPI Library is one of the most widely used message-passing interface (MPI) implementations for distributed computing, with continual optimizations that help high-performance computing (HPC) developers and data scientists deliver performance and flexibility.

In this session, technical consulting engineer James Tullos gives a tour of the tool’s latest incarnation, including how it:

  • Increases performance on OpenFabrics Interfaces (OFI), a framework designed to meet the performance and scalability requirements of HPC applications running in a tightly coupled network environment
  • Provides tight integration for users of Apptainer/Singularity containers that are used to package entire scientific workflows, software and libraries, and data
  • Optimizes performance on the Elastic Fabric Adapter from AWS*, a network interface that enables you to run HPC applications at scale, including computational fluid dynamics, weather modeling, and reservoir simulation

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  • Intel® MPI Library—This library is one of five free Intel® Performance Libraries. Download one or all of them today, free.

James Tullos
Technical consulting engineer, Intel Corporation

James Tullos is responsible for all things “customer technical support and training” on application performance using Intel® Software Development Tools. He focuses on parallel performance in HPC and cluster environments with specific knowledge around distributed memory computing using MPI.

James enjoys sharing his knowledge and is a regular presence at technical trade shows, workshops, and conferences. Before joining Intel, he worked in the aerospace engineering field and focused on propulsion system analysis programs.

James holds a master of science in aeronautical and astronautical engineering from Purdue University, and a bachelor of science in aerospace engineering from Mississippi State University.

 

Intel® MPI Library

Deliver flexible, efficient, and scalable cluster messaging with this multifabric message-passing library. Intel® MPI Library is included in the Intel® oneAPI HPC Toolkit.

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