Northwestern University

Tue 3:00 PM

Computational Skills for Researchers: MPI/OpenMP

When: Tuesday, October 24, 2017
3:00 PM - 5:00 PM  

Where: Seeley G. Mudd Library, 2124, 2233 Tech Drive, Evanston, IL 60208 map it

Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: IT Communications   847.491.2699

Group: Northwestern Information Technology

Category: Training

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Instructors: Pascal Paschos, Senior Computational Specialist, Northwestern IT Research Computing Services and Alper Kinaci, Senior Computational Specialist, Northwestern IT Research Computing Services

OpenMP (Open Multi-Processing) and MPI (Message Passing Interface) are two standard approaches to parallelize codes. OpenMP provides parallelism within a multi-core node and MPI offers intra- and inter-node parallelization. This introductory workshop will focus on the fundamental concepts of parallel computing using these two methods. Topics will include distributed versus shared memory computing, constructing parallel regions, domain decomposition and avoiding race conditions. The workshop will include examples of using MPI with Python. This workshop assumes you're comfortable writing at least basic Python code. Please bring your own laptop; installation instructions will be provided ahead of the workshop.

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