Bayes Centre

Message-passing Programming with MPI @ EPCC

ARcher

ARCHER, hosted by EPCC, is the UK's National Supercomputing Service for academic research. Every year since 2014 ARCHER has run an intensive one-week hands-on training course to introduce people to high performance computing (HPC) and the basics of parallel programming.

The world’s largest supercomputers are used almost exclusively to run applications which are parallelised using Message Passing. The course covers all the basic knowledge required to write parallel programs using this programming model, and is directly applicable to almost every parallel computer architecture.

PRACE

Parallel programming by definition involves co-operation between processes to solve a common task. The programmer has to define the tasks that will be executed by the processors, and also how these tasks are to synchronise and exchange data with one another. In the message-passing model the tasks are separate processes that communicate and synchronise by explicitly sending each other messages. All these parallel operations are performed via calls to some message-passing interface that is entirely responsible for interfacing with the physical communication network linking the actual processors together. This course uses the de facto standard for message passing, the Message Passing Interface (MPI). It covers point-to-point communication, non-blocking operations, derived datatypes, virtual topologies, collective communication and general design issues.

The course is normally delivered in an intensive three-day format using EPCC’s dedicated training facilities. It is taught using a variety of methods including formal lectures, practical exercises, programming examples and informal tutorial discussions. This enables lecture material to be supported by the tutored practical sessions in order to reinforce the key concepts.

ARCHER is hosted by EPCC -Information on further training and events with EPCC

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Message-passing Programming with MPI @ EPCC

This event is aimed at researchers in industry and academia who want to learn how to use HPC to further their own work in computational or data science

Bayes Centre, 47 Potterrow, Edinburgh EH8 9BT