Field-programmable gate arrays and quantum Monte Carlo: Power efficient coprocessing for scalable high-performance computing
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Authors
Cardamone, S
Kimmitt, JRR
Burton, HGA
Todman, TJ
Li, S
Luk, W
Thom, AJW
Publication Date
2019Journal Title
International Journal of Quantum Chemistry
ISSN
0020-7608
Publisher
Wiley
Volume
119
Issue
12
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Cardamone, S., Kimmitt, J., Burton, H., Todman, T., Li, S., Luk, W., & Thom, A. (2019). Field-programmable gate arrays and quantum Monte Carlo: Power efficient coprocessing for scalable high-performance computing. International Journal of Quantum Chemistry, 119 (12) https://doi.org/10.1002/qua.25853
Abstract
Massively parallel architectures offer the potential to significantly
accelerate an application relative to their serial counterparts. However, not
all applications exhibit an adequate level of data and/or task parallelism to
exploit such platforms. Furthermore, the power consumption associated with
these forms of computation renders "scaling out" for exascale levels of
performance incompatible with modern sustainable energy policies. In this work,
we investigate the potential for field-programmable gate arrays (FPGAs) to
feature in future exascale platforms, and their capacity to improve performance
per unit power measurements for the purposes of scientific computing. We have
focussed our efforts on Variational Monte Carlo, and report on the benefits of
co-processing with an FPGA relative to a purely multicore system.
Keywords
FPGA, quantum Monte Carlo, variational Monte Carlo
Sponsorship
Royal Society
Horizon 2020
Hartree Centre
Funder references
Royal Society (uf110161)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (671653)
Royal Society (UF160398)
Identifiers
External DOI: https://doi.org/10.1002/qua.25853
This record's URL: https://www.repository.cam.ac.uk/handle/1810/288200
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