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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Highly-parallelized simulation of a pixelated LArTPC on a GPU
AU - DUNE Collaboration
AU - Abud, A. Abed
AU - Abi, B.
AU - Acciarri, R.
AU - Acero, M. A.
AU - Adames, M. R.
AU - Adamov, G.
AU - Adamowski, M.
AU - Adams, D.
AU - Adinolfi, M.
AU - Adriano, C.
AU - Aduszkiewicz, A.
AU - Aguilar, J.
AU - Ahmad, Z.
AU - Ahmed, J.
AU - Aimard, B.
AU - Akbar, F.
AU - Allison, K.
AU - Monsalve, S. Alonso
AU - Alrashed, M.
AU - Alt, C.
AU - Alton, A.
AU - Alvarez, R.
AU - Amedo, P.
AU - Anderson, J.
AU - Andrade, D. A.
AU - Andreopoulos, C.
AU - Andreotti, M.
AU - Andrews, M. P.
AU - Andrianala, F.
AU - Andringa, S.
AU - Anfimov, N.
AU - Campanelli, W. L. Anicézio
AU - Ankowski, A.
AU - Antoniassi, M.
AU - Antonova, M.
AU - Antoshkin, A.
AU - Antusch, S.
AU - Aranda-Fernandez, A.
AU - Arellano, L.
AU - Arnold, L. O.
AU - Arroyave, M. A.
AU - Asaadi, J.
AU - Ashkenazi, A.
AU - Blake, A.
AU - Brailsford, D.
AU - Cross, R.
AU - Mouster, G.
AU - Nowak, J. A.
AU - Ratoff, P.
PY - 2023/4/26
Y1 - 2023/4/26
N2 - The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time project chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on $10^3$ pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.
AB - The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time project chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on $10^3$ pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.
KW - physics.comp-ph
KW - physics.ins-det
U2 - 10.1088/1748-0221/18/04/P04034
DO - 10.1088/1748-0221/18/04/P04034
M3 - Journal article
VL - 18
JO - Journal of Instrumentation
JF - Journal of Instrumentation
SN - 1748-0221
M1 - P04034
ER -