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Performance modelling and optimisation of inertial confinement fusion simulation codes

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Bird, Robert F. (2016) Performance modelling and optimisation of inertial confinement fusion simulation codes. PhD thesis, University of Warwick.

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Official URL: http://webcat.warwick.ac.uk/record=b2866176~S1

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Abstract

Legacy code performance has failed to keep up with that of modern hardware. Many new hardware features remain under-utilised, with the majority of code bases still unable to make use of accelerated or heterogeneous architectures. Code maintainers now accept that they can no longer rely solely on hardware improvements to drive code performance, and that changes at the software engineering level need to be made.

The principal focus of the work presented in this thesis is an analysis of the changes legacy Inertial Confinement Fusion (ICF) codes need to make in order to efficiently use current and future parallel architectures. We discuss the process of developing a performance model, and demonstrate the ability of such a model to make accurate predictions about code performance for code variants on a range of architectures. We build on the knowledge gained from such a process, and examine how Particle-in-Cell (PIC) codes must change in order to move towards the required levels of portable and future-proof performance needed to leverage the capabilities of modern hardware. As part of this investigation, we present an OpenCL port of the legacy code EPOCH, as well as a fully featured mini-app representing EPOCH. Finally, as a direct consequence of these investigations, we directly apply these performance optimisations to the production version EPOCH, culminating in a speedup of over 2x for the core algorithm

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Library of Congress Subject Headings (LCSH): Computer simulation, Computer algorithms, Heterogeneous computing, Plasma (Ionized gases) -- Simulation methods
Official Date: February 2016
Dates:
DateEvent
February 2016Submitted
Institution: University of Warwick
Theses Department: Department of Computer Science
Thesis Type: PhD
Publication Status: Unpublished
Supervisor(s)/Advisor: Jarvis, Stephen A., 1970-
Extent: xviii, 135 leaves : charts (color).
Language: eng

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