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Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs
[article]
2021
arXiv
pre-print
Preserved Fulltext
We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules for reconstruction of charged particle tracks. ...
We demonstrate the performance of the new implementation on Intel Xeon and NVIDIA GPU architectures. ...
National Science Foundation, under grants PHY1520969, PHY1521042, PHY1520942 and PHY1624356, and under Cooperative Agreement OAC1836650, and by the U.S. ...
arXiv:2101.11489v1
fatcat:ut3inph4rnafplut4fcabp4uhu
CTD2020: Parallelizing the unpacking and clustering of detector data for reconstruction of charged particle tracks on multi-core CPUs and many-core GPUs
2020
Zenodo
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Charged particle tracking is the most computationally intensive step of event reconstruction at the LHC. ...
We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules so that all the required hit information for global reconstruction can be produced ...
National Science Foundation, under grants PHY1520969, PHY1521042, PHY1520942 and PHY1624356, and under Cooperative Agreement OAC1836650, and by the U.S. ...
doi:10.5281/zenodo.4088495
fatcat:ysppergxifd2tkokvz2jcpsczu
CTD2020: Parallelizing the unpacking and clustering of detector data for reconstruction of charged particle tracks on multi-core CPUs and many-core GPUs
2020
Zenodo
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Charged particle tracking is the most computationally intensive step of event reconstruction at the LHC. ...
We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules so that all the required hit information for global reconstruction can be produced ...
Tracking is by far the most time-consuming step of CMS reconstruction Tracking on GPUs enables new trigger capabilities and thereby physics reach of CMS• This presentation considers the unpacking, clustering ...
doi:10.5281/zenodo.4034415
fatcat:xs66gkyajzfrhfnojtncojonbi
Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm
2019
Zenodo
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One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. ...
Recognizing the need for faster computational throughput, we have adapted Kalman-filter-based methods for highly parallel, many-core SIMD and SIMT architectures that are now prevalent in high-performance ...
; total charge > min • Standalone implementation on CPU (OpenMP for now) and GPU (CUDA)
- Parallelization implemented as one GPU thread per candidate -Select the best new candidates for each seed in ...
doi:10.5281/zenodo.3599129
fatcat:nfgfakt66zemjhlo2hhtr7htdy
Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments
[article]
2013
arXiv
pre-print
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2013
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)
unpublished
doi:10.1109/nssmic.2013.6829552 fatcat:cmxpqwe5njfz7j7r2pn6trzqyu
doi:10.1109/nssmic.2013.6829552 fatcat:cmxpqwe5njfz7j7r2pn6trzqyu
In this paper we describe performance measurements of many-core devices when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. ...
Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the many-core devices. ...
ACKNOWLEDGMENT The authors would like to thank the Fermilab staff, the FTK group at the University of Chicago and the INFN-APE group in Rome for their support. This work was supported by the U.S. ...
arXiv:1312.0917v1
fatcat:6cadut7clbdjpdgmls76wlyp5q
Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm
[article]
2020
arXiv
pre-print
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One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. ...
Recognizing the need for faster computational throughput, we have adapted Kalman-filter-based methods for highly parallel, many-core SIMD and SIMT architectures that are now prevalent in high-performance ...
Introduction The reconstruction of charged particle tracks (tracking) is crucial for the physics goals of the Large Hadron Collider (LHC) experiments as it is needed to estimate the particle momenta, identify ...
arXiv:2002.06295v2
fatcat:u3ibke3vgrdgnd7ojzaoynjrzq
Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm
2020
EPJ Web of Conferences
Preserved Fulltext
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One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. ...
Recognizing the need for faster computational throughput, we have adapted Kalman-filterbased methods for highly parallel, many-core SIMD and SIMT architectures that are now prevalent in high-performance ...
Introduction The reconstruction of charged particle tracks (tracking) is crucial for the physics goals of the Large Hadron Collider (LHC) experiments as it is needed to estimate the particle momenta, identify ...
doi:10.1051/epjconf/202024502013
fatcat:6eaxxc6lazhvvphm2k7hhgqq6a
A Common Tracking Software Project
[article]
2021
arXiv
pre-print
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The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. ...
While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. ...
Conflict of interest The authors declare that they have no conflict of interest. Availability of data and material Not applicable. No associated data except for code. ...
arXiv:2106.13593v1
fatcat:apbdvwybnngsnftzt6afqyozhe
Proceedings of the 2020 Connecting the Dots Workshop
2020
Zenodo
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The Connecting The Dots workshop series brings together experts on track reconstruction and other problems involving pattern recognition in sparsely sampled data. ...
Complete set of all proceedings contributed and reviewed for the 2020 Connecting the Dots workshop. ...
ACKNOWLEDGEMENTS
ACKNOWLEDGEMENTS Part of this work was conducted at "iBanks", the AI GPU cluster at Caltech. ...
doi:10.5281/zenodo.4088760
fatcat:kulhvq3t5fglnimqawge7lnt4q
HEP Community White Paper on Software trigger and event reconstruction
[article]
2018
arXiv
pre-print
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the next generation of HEP detectors to fulfill their full physics potential. ...
The topics of event reconstruction and software triggers were considered by a joint working group and are summarized together in this document. ...
Depending on the experiment in question, these higher level objects might be charged particle trajectories ("tracks"), neutral or charged particle calorimeter clusters, Cherenkov rings, jets, and so on ...
arXiv:1802.08638v1
fatcat:icpghcgal5bs3j7dhy7x7xhspu
Triggering and High-Level Data Selection
[chapter]
2020
Particle Physics Reference Library
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Without a L1 tracking trigger, the opportunity to access most of the tracker information at the first levels of the HLT is limited by the CPU time to unpack and reconstruct the tracking data. ...
For the HL-LHC, the addition of the L1 tracking trigger means that the results from the L1T track reconstruction can be immediately used without the overhead of tracking data unpacking and reconstruction ...
doi:10.1007/978-3-030-35318-6_12
fatcat:sx6bwlq3uva77a5nlu56jaddoa
A High-Granularity Digital Tracking Calorimeter Optimized for Proton CT
2020
Frontiers in Physics
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These tests proved the ALPIDE response independent of occupancy and proportional to the particle energy deposition, making the distinction of different ion tracks possible. ...
Each sensitive layer consists of 108 ALICE pixel detector (ALPIDE) chip sensors (developed for ALICE, CERN) bonded on a polyimide flex and subsequently bonded to a larger flexible printed circuit board ...
and Development and Promotion of Science and Technology Talents Project (DPST) for supporting the Suranaree University of Technology (Nakhon Ratchasima, Thailand) on the pCT project. ...
doi:10.3389/fphy.2020.568243
fatcat:7gkp7yu525ho3hdlxpum7npkve
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems)
[article]
2015
arXiv
pre-print
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As computational technology evolves rapidly in new directions, and data throughput and volume continue to follow a steep trend-line, it is important for the HEP community to develop an effective response ...
and to present findings and opportunities for the desired HEP computational roadmap. ...
Acknowledgments We record our thanks to our colleagues -too many to name individually -for extensive discussions and for assisting with this report in a number of places. ...
arXiv:1510.08545v1
fatcat:ligxzve2ifgphnsys5pbzy4vty
Classical and machine learning methods for event reconstruction in NeuLAND
2021
Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment
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2021 pre-print arXiv:2108.01384v1 fatcat:hjfqie76xbbbpcjj7gkbfex33q
It is a core component of the Reactions with Relativistic Radioactive Beams setup at the Facility for Antiproton and Ion Research, Germany. ...
In this paper, we detail the challenges involved in this reconstruction and present a range of possible solutions. ...
The target is surrounded by detectors for light particles and γ-rays. The large superconducting magnet GLAD deflects charged particles from the original path of the beam. ...
doi:10.1016/j.nima.2021.165666
fatcat:hhuvxrr74jhm3dxhiqlbopnope
Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I: Introduction to DUNE
[article]
2020
arXiv
pre-print
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The remainder of Volume I provides more detail on the science program that drives the choice of detector technologies and on the technologies themselves. ...
at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. ...
These operations are well suited for GPU and parallel processing. We are actively exploring multi-threaded processing for all data preparation algorithms. ...
arXiv:2002.02967v3
fatcat:x3zwdmkxrngrxoydxstbeaydy4
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