Parallel Programming Compute Clusters using the Message Passing Interface

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ER: 211A Ernest Rutherford Building

University of Canterbury

New Zealand

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Most of the applications used by Research Computing Clusters and the majority of the world's High Performance Computer infrastructures are parallelised by using the Message Passing Interface (MPI). The MPI standard defines a core library of software routines to assist in turning serial applications into parallel ones that can be run on a shared or distributed memory system.

This 5 day course provides students, through lectures, tutorials and lots of ‘hands on’ exercises, the skills required to write parallel programs using this programming model, and is directly applicable to almost every parallel computer architecture. It also shows how to integrate MPI with OpenMP (parallel application programming interface for shared memory computing).

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ER: 211A Ernest Rutherford Building

University of Canterbury

New Zealand

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