Published August 2023 | Version 1.0
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Future-proof parallelism for plane-wave DFT in CASTEP

  • 1. School of PET, University of York
  • 2. IT Services, University of York

Description

The aim of this eCSE was to substantially improve the parallel performance of the CASTEP materials modelling program, reducing the time-to-science and extending the range of cores which may be used efficiently. This was to be accomplished by; re-engineering CASTEP’s main distributed-memory parallel decomposition, and extending and optimising CASTEP’s shared-memory parallelism.

Notes

This work was funded under the embedded CSE programme of the ARCHER2 UK National Supercomputing Service (http://www.archer2.ac.uk).

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