Message Passing Interface (MPI) is a powerful library standard that allows for the parallel execution of applications across multiple processors on a system while allowing users to run their applications across multiple nodes.
In this webinar, Intel technical engineers Cory Levels and James Tullos introduce you to the Intel® MPI Library including:
- How to adjust fabric settings and set MPI tuning to maximize cluster application performance
- A demonstration of the library’s latest optimization features
- Xe accelerator support and pinning offloaded code to GPU cores
Download the Software
Get the Intel® MPI Library as part of the Intel® oneAPI HPC Toolkit, which is a collection of optimized tools for high-performance computing.
- Sign up for an Intel® DevCloud for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.
- Explore oneAPI, including developer opportunities and benefits
- Subscribe to the POD—Code Together is an interview series that explores the challenges at the forefront of cross-architecture development. Each biweekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.
Technical consulting engineer, Intel Corporation
Cory Levels is responsible for supporting Intel® Software Development Tools with a special focus on the performance analysis tools Intel® VTune™ Profiler and Intel® Advisor. She recently transitioned to the Technical Consulting Engineering Team after completing a six month rotational program through Intel. She has a background in development and was previously on a debug team supporting Intel’s oneAPI efforts.
Cory holds a bachelor’s degree in computer engineering from Southern Illinois University Edwardsville with minors in computer science and mechanical engineering. In her spare time, she enjoys hiking, and playing soccer and volleyball.
Technical Consulting Engineer, Intel Corporation
James Tullos is responsible for all things “customer technical support and training” on application performance using Intel Intel® Software Development Tools. He focuses on parallel performance in HPC and cluster environments, with specific knowledge around distributed memory computing using the Message Passing Interface (MPI).
James enjoys sharing his knowledge and is a regular presence at technical trade shows, workshops, and conferences. Prior to joining Intel, he worked in the aerospace engineering field focused on propulsion system analysis programs.
James holds an MS degree in aeronautical and astronautical engineering from Purdue University, and a BS degree in aerospace engineering from Mississippi State University.