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The MPI (Message Passing Interface) API is a widely used standard set of interfaces for programming parallel computers ranging from multicore laptops to large-scale SMP servers and clusters. Its versatility and wide range of applicability make it a standard system for high-performance programming.

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. We do not require any prior background in parallel computing, but some experience with programming in either Fortran or C/C++ is useful.

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 demonstrate array distribution, user-defined data types, 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, CAC, Queen's University. Prerequisites: Basic Fortran or C/C++ programming.