Demonstration of FPGA Acceleration of Monte Carlo Simulation Article Swipe
Marco Barbone
,
A. Howard
,
A. Tapper
,
D. Chen
,
M. Novák
,
Wayne Luk
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2438/1/012023
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2438/1/012023
We present results from a stand-alone simulation of electron single Coulomb scattering as implemented completely on an Field Programmable Gate Array (FPGA) architecture and compared with an identical simulation on a standard CPU. FPGA architectures offer unprecedented speed-up capability for Monte Carlo simulations, however with the caveats of lengthy development cycles and resource limitation, particularly in terms of on-chip memory and DSP blocks. As a proof of principle of acceleration on an FPGA, we chose a single scattering process of electrons in water at an energy of 6 MeV. The initial code-base was implemented in C++ and optimised for CPU processing. To measure the potential performance gains of FPGAs compared to modern multi-core CPUs we computed 100M histories of a 6 MeV electron interacting in water. Without performing any hardware-specific optimisation, the results show that the FPGA implementation is over 110 times faster than an optimised parallel implementation running on 12 CPU-cores, and over 270 times faster than a sequential single-core CPU implementation. The results on both architectures were statistically equivalent. The successful implementation and acceleration results are very encouraging for the future exploitation of more sophisticated Monte Carlo simulation on FPGAs for High Energy Physics applications.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2438/1/012023
- https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012023/pdf
- OA Status
- diamond
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320916748
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320916748Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/2438/1/012023Digital Object Identifier
- Title
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Demonstration of FPGA Acceleration of Monte Carlo SimulationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-02-01Full publication date if available
- Authors
-
Marco Barbone, A. Howard, A. Tapper, D. Chen, M. Novák, Wayne LukList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/2438/1/012023Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012023/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012023/pdfDirect OA link when available
- Concepts
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Field-programmable gate array, Monte Carlo method, Computer science, Acceleration, Parallel computing, Coprocessor, Central processing unit, Computational science, Energy (signal processing), Embedded system, Computer hardware, Physics, Mathematics, Quantum mechanics, Classical mechanics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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6Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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