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
• Pinning offloaded code to GPU cores and support for accelerators with X^e architecture

Get the Intel MPI Library as part of the Intel® HPC Toolkit, which is a collection of optimized tools for high-performance computing.

• Sign up for an Intel® Developer Cloud 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 podcast—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.

Cory Levels
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 the Intel 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.

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. Prior to joining Intel, he worked in the aerospace engineering field focused on propulsion system analysis programs.

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