The Compute Ontario Summer School on High Performance Computing provides attendees with unique opportunities to learn and share knowledge and experience in high performance and technical computing on modern HPC platforms. The five full day summer school offers intensive courses on a number of selected subjects...

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2016 Ontario Summer School on High Performance Computing
McMaster University, Hamilton, Ontario, May 30 - June 3
University of Toronto, Toronto, Ontario, July 11 - 15
University of Ottawa, Ottawa, Ontario, August 8 - 12

Distributed Memory Programming With MPI

Description

The MPI (Message Passing Interface) is widely used for programming parallel computers ranging from multi-core laptops to large-scale SMP servers and clusters. This workshop is directed at current or prospective users of parallel computers who want to significantly improve the performance of their programs by “parallelizing” the code on a wide range of platforms.

The content of the course ranges from introductory to intermediate. After a brief introduction to MPI, we talk about MPI fundamentals including about a dozen MPI routines to familiarize users with the basic concepts of MPI programming. Later we discuss and demonstrate user-defined data types, array distribution across processes, and task distribution with examples.

Throughout this workshop we will perform simple exercises on a dedicated cluster to apply our newly gained knowledge practically.

Instructor: Gang Liu, Centre for Advanced Computing, Queen's University.

Prerequisites: Basic FORTRAN or C/C++ programming.

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