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FPGA based hybrid computing platform for ESS linac simulator

Jeevaraj, Arun; Laface, Emmanuel LU ; Donna, Maurizio; Edman, Fredrik LU and Liu, Liang LU (2018) 4th IEEE Nordic Circuits and Systems Conference, NORCAS 2018: NORCHIP and International Symposium of System-on-Chip, SoC 2018
Abstract

This paper presents a scalable and high-Throughput hybrid computing platform for the real-Time multi-particle based Linac (Linear accelerator) simulation model to be used at the European Spallation Source (ESS). The multi-particle simulation model with non-linear modeling is needed to provide a realistic behavior of the particle beam for reducing the losses at the superconducting structures. The computation complexity of the simulations can reach 1012 matrix multiplication operations for a test case of 106 beam particles simulated over 106 cells. An OpenCL (Open Computing Language) based framework is used to map the processing intensive parts of the simulation model efficiently to any configuration of a... (More)

This paper presents a scalable and high-Throughput hybrid computing platform for the real-Time multi-particle based Linac (Linear accelerator) simulation model to be used at the European Spallation Source (ESS). The multi-particle simulation model with non-linear modeling is needed to provide a realistic behavior of the particle beam for reducing the losses at the superconducting structures. The computation complexity of the simulations can reach 1012 matrix multiplication operations for a test case of 106 beam particles simulated over 106 cells. An OpenCL (Open Computing Language) based framework is used to map the processing intensive parts of the simulation model efficiently to any configuration of a CPU-, GPU-and FPGA-based platform. Optimizations using data precision strategies have also been explored to further improve the throughput after reaching memory access saturation. We are able to achieve up to 89 × speed up compared to a C++ benchmark of the same system.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE Nordic Circuits and Systems Conference, NORCAS 2018
editor
Nurmi, Jari; Ellervee, Peeter; Mihhailov, Juri; Tammemae, Kalle; Jenihhin, Maksim; ; ; ; and
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
4th IEEE Nordic Circuits and Systems Conference, NORCAS 2018: NORCHIP and International Symposium of System-on-Chip, SoC 2018
conference location
Tallinn, Estonia
conference dates
2018-10-30 - 2018-10-31
external identifiers
  • scopus:85060572308
ISBN
9781538676561
DOI
10.1109/NORCHIP.2018.8573518
language
English
LU publication?
yes
id
0dec190c-bb46-48c3-afb0-365766c99645
date added to LUP
2019-02-08 11:56:27
date last changed
2019-03-05 04:32:00
@inproceedings{0dec190c-bb46-48c3-afb0-365766c99645,
  abstract     = {<p>This paper presents a scalable and high-Throughput hybrid computing platform for the real-Time multi-particle based Linac (Linear accelerator) simulation model to be used at the European Spallation Source (ESS). The multi-particle simulation model with non-linear modeling is needed to provide a realistic behavior of the particle beam for reducing the losses at the superconducting structures. The computation complexity of the simulations can reach 10<sup>12</sup> matrix multiplication operations for a test case of 10<sup>6</sup> beam particles simulated over 10<sup>6</sup> cells. An OpenCL (Open Computing Language) based framework is used to map the processing intensive parts of the simulation model efficiently to any configuration of a CPU-, GPU-and FPGA-based platform. Optimizations using data precision strategies have also been explored to further improve the throughput after reaching memory access saturation. We are able to achieve up to 89 × speed up compared to a C++ benchmark of the same system.</p>},
  author       = {Jeevaraj, Arun and Laface, Emmanuel and Donna, Maurizio and Edman, Fredrik and Liu, Liang},
  editor       = {Nurmi, Jari and Ellervee, Peeter and Mihhailov, Juri and Tammemae, Kalle and Jenihhin, Maksim},
  isbn         = {9781538676561},
  language     = {eng},
  location     = {Tallinn, Estonia},
  month        = {12},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {FPGA based hybrid computing platform for ESS linac simulator},
  url          = {http://dx.doi.org/10.1109/NORCHIP.2018.8573518},
  year         = {2018},
}