Distributed Parallelism beyond MPI

In the past few years typical High Performance architectures have changed through the availability of multi-core processors. Many machines, from local clusters to the world-leading Blue Gene machines have many computational units (cores and/or processors) per node with gigabytes of memory shared between them.<br /> <br /> The most typical parallel strategy is to use MPI in order to connect multiple distributed memory nodes together. Within a node each processing unit is usually imagined to be as separate as those on a different node, hence memory may be replicated.<br /> <br /> In this project we are interested in how best to construct scientific algorithms on such systems without having this redundancy, through the combination of distributed MPI and shared memory techniques.<br /> <br />

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;Distributed Parallelism beyond MPI&rsquo;&nbsp;as well as&nbsp;<a href="https://engineering.leeds.ac.uk/staff/189/dr_mark_walkley">Dr Mark Walkley</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p>&nbsp;</p>

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