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The amount and complexity of data recorded by high energy physics experiments are rapidly growing, and with these grow the difficulties in visualizing such data. To study the physics of neutrinos, a type of elementary particle, scientists…

Instrumentation and Detectors · Physics 2020-10-27 Corey Adams , Marco Del Tutto

In this paper we present the cryogenic functionality of the components of data links for the Liquid Argon Time Projection Chamber (LArTPC), a potential far site detector technology of the Long-Baseline Neutrino Experiment (LBNE). We have…

Instrumentation and Detectors · Physics 2022-02-11 Tiankuan Liu , Datao Gong , Suen Hou , Chonghan Liu , Da-Shung Su , Ping-kun Teng , Annie C. Xiang , Jingbo Ye

Leveraging Graphics Processing Units (GPUs) to accelerate scientific software has proven to be highly successful, but in order to extract more performance, GPU programmers must overcome the high latency costs associated with their use. One…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-03 Jacob Faibussowitsch , Mark F. Adams , Richard Tran Mills , Stefano Zampini , Junchao Zhang

As heterogeneous supercomputing architectures leveraging GPUs become increasingly central to high-performance computing (HPC), it is crucial for computational fluid dynamics (CFD) simulations, a de-facto HPC workload, to efficiently utilize…

In today's technology-driven world, early-stage software development and testing are crucial. Virtual Platforms (VPs) have become indispensable tools for this purpose as they serve as a platform to execute and debug the unmodified target…

Software Engineering · Computer Science 2025-05-22 Nils Bosbach , Rebecca Pelke , Niko Zurstraßen , Jan Henrik Weinstock , Lukas Jünger , Rainer Leupers

We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training…

High Energy Physics - Experiment · Physics 2023-02-17 MicroBooNE collaboration , C. Adams , M. Alrashed , R. An , J. Anthony , J. Asaadi , A. Ashkenazi , M. Auger , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , M. Bass , F. Bay , A. Bhat , K. Bhattacharya , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , I. Caro Terrazas , R. Carr , R. Castillo Fernandez , F. Cavanna , G. Cerati , Y. Chen , E. Church , D. Cianci , E. Cohen , G. H. Collin , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , A. Diaz , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. Esquivel , J. J. Evans , A. A. Fadeeva , R. S. Fitzpatrick , B. T. Fleming , D. Franco , A. P. Furmanski , D. Garcia-Gamez , G. T. Garvey , V. Genty , D. Goeldi , S. Gollapinni , O. Goodwin , E. Gramellini , H. Greenlee , R. Grosso , R. Guenette , P. Guzowski , A. Hackenburg , P. Hamilton , O. Hen , V Hewes , C. Hill , G. A. Horton-Smith , A. Hourlier , E. -C. Huang , C. James , J. Jan de Vries , L. Jiang , R. A. Johnson , J. Joshi , H. Jostlein , Y. -J. Jwa , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , S. Marcocci , C. Mariani , J. Marshall , J. Martin-Albo , D. A. Martinez Caicedo , A. Mastbaum , V. Meddage , T. Mettler , G. B. Mills , K. Mistry , A. Mogan , J. Moon , M. Mooney , C. D. Moore , J. Mousseau , M. Murphy , R. Murrells , D. Naples , P. Nienaber , J. Nowak , O. Palamara , V. Pandey , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , Z. Pavlovic , E. Piasetzky , D. Porzio , G. Pulliam , X. Qian , J. L. Raaf , A. Rafique , L. Rochester , M. Ross-Lonergan , C. Rudolf von Rohr , B. Russell , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , R. Sharankova , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , N. Tagg , W. Tang , K. Terao , M. Thomson , R. T. Thornton , M. Toups , Y. -T. Tsai , S. Tufanli , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , H. Wei , D. A. Wickremasinghe , K. Wierman , Z. Williams , S. Wolbers , T. Wongjirad , K. Woodruff , T. Yang , G. Yarbrough , L. E. Yates , G. P. Zeller , J. Zennamo , C. Zhang

VPIC is a general purpose Particle-in-Cell simulation code for modeling plasma phenomena such as magnetic reconnection, fusion, solar weather, and laser-plasma interaction in three dimensions using large numbers of particles. VPIC's…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-16 Robert Bird , Nigel Tan , Scott V. Luedtke , Stephen Lien Harrell , Michela Taufer , Brian Albright

Solving discretized versions of the Dirac equation represents a large share of execution time in lattice Quantum Chromodynamics (QCD) simulations. Many high-performance computing (HPC) clusters use graphics processing units (GPUs) to offer…

High Energy Physics - Lattice · Physics 2024-07-02 Tilmann Matthaei

When electrons with energies of $O(100)$ MeV pass through a liquid argon time projection chamber (LArTPC), they deposit energy in the form of electromagnetic showers. Methods to reconstruct the energy of these showers in LArTPCs often rely…

High Energy Physics - Experiment · Physics 2022-02-23 Kiara Carloni , Nicholas W. Kamp , Austin Schneider , Janet M. Conrad

The supercomputing platforms available for high performance computing based research evolve at a great rate. However, this rapid development of novel technologies requires constant adaptations and optimizations of the existing codes for…

High Energy Physics - Lattice · Physics 2017-02-23 Marina Krstic Marinkovic , Luka Stanisic

We describe the GPU implementation of shifted or multimass iterative solvers for sparse linear systems of the sort encountered in lattice gauge theory. We provide a generic tool that can be used by those without GPU programming experience…

High Energy Physics - Lattice · Physics 2011-02-16 Richard Galvez , Greg van Anders

The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle traces. To fully utilize this information, the deposited…

Instrumentation and Detectors · Physics 2023-02-17 MicroBooNE collaboration , C. Adams , R. An , J. Anthony , J. Asaadi , M. Auger , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , M. Bass , F. Bay , A. Bhat , K. Bhattacharya , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , R. Carr , I. Caro Terrazas , R. Castillo Fernandez , F. Cavanna , G. Cerati , H. Chen , Y. Chen , E. Church , D. Cianci , E. Cohen , G. H. Collin , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , A. Diaz , M. Dolce , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. Esquivel , J. J. Evans , A. A. Fadeeva , B. T. Fleming , W. Foreman , A. P. Furmanski , D. Garcia-Gamez , G. T. Garvey , V. Genty , D. Goeldi , S. Gollapinni , E. Gramellini , H. Greenlee , R. Grosso , R. Guenette , P. Guzowski , A. Hackenburg , P. Hamilton , O. Hen , V Hewes , C. Hill , J. Ho , G. A. Horton-Smith , A. Hourlier , E. -C. Huang , C. James , J. Jan de Vries , L. Jiang , R. A. Johnson , J. Joshi , H. Jostlein , Y. -J. Jwa , D. Kaleko , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , S. Marcocci , C. Mariani , J. Marshall , D. A. Martinez Caicedo , A. Mastbaum , V. Meddage , T. Mettler , T. Miceli , G. B. Mills , A. Mogan , J. Moon , M. Mooney , C. D. Moore , J. Mousseau , M. Murphy , R. Murrells , D. Naples , P. Nienaber , J. Nowak , O. Palamara , V. Pandey , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , Z. Pavlovic , E. Piasetzky , D. Porzio , G. Pulliam , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , L. Rochester , M. Ross-Lonergan , C. Rudolf von Rohr , B. Russell , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , N. Tagg , W. Tang , K. Terao , M. Thomson , M. Toups , Y. -T. Tsai , S. Tufanli , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , H. Wei , D. A. Wickremasinghe , K. Wierman , Z. Williams , S. Wolbers , T. Wongjirad , K. Woodruff , T. Yang , G. Yarbrough , L. E. Yates , B. Yu , G. P. Zeller , J. Zennamo , C. Zhang

Extensions to the C++ implementation of the QCD Data Parallel Interface are provided enabling acceleration of expression evaluation on NVIDIA GPUs. Single expressions are off-loaded to the device memory and execution domain leveraging the…

High Energy Physics - Lattice · Physics 2011-11-24 Frank Winter

Modern computer systems typically conbine multicore CPUs with accelerators like GPUs for inproved performance and energy efficiency. However, these sys- tems suffer from poor performance portability, code tuned for one device must be…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-23 Thomas L. Falch , Anne C. Elster

Accelerator-based heterogeneous architectures, such as CPU-GPU, CPU-TPU, and CPU-FPGA systems, are widely adopted to support the popular artificial intelligence (AI) algorithms that demand intensive computation. When deployed in real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-20 An Zou , Yuankai Xu , Yinchen Ni , Jintao Chen , Yehan Ma , Jing Li , Christopher Gill , Xuan Zhang , Yier Jin

In physics research particle accelerators are highly valued, and extraordinarily expensive, technical instruments. The high cost of particle accelerators results from the immense lengths required to accelerate particles to high energies,…

Accelerator Physics · Physics 2022-10-26 Elisa Rheaume , Lorenzo Giacomel , Jean-Luc Vay , Axel Huebl

Particle accelerator modeling is an important field of research and development, essential to investigating, designing and operating some of the most complex scientific devices ever built. Kinetic simulations of relativistic, charged…

Accelerator Physics · Physics 2024-05-02 Ryan T. Sandberg , Remi Lehe , Chad E. Mitchell , Marco Garten , Andrew Myers , Ji Qiang , Jean-Luc Vay , Axel Huebl

Recently a large interest has been shown for multi-ton Liquid Argon Time-Projection-Chambers (LAr-TPC). The physics issues are very challenging, but the technical problem of long drifts and adequately long life-time of free electrons are…

Instrumentation and Detectors · Physics 2007-05-23 S. Centro , G. Meng , F. Pietropaolo , S. Ventura

Turning the current experimental plasma accelerator state-of-the-art from a promising technology into mainstream scientific tools depends critically on high-performance, high-fidelity modeling of complex processes that develop over a wide…

Accelerator Physics · Physics 2018-12-26 J. -L. Vay , A. Almgren , J. Bell , L. Ge , D. P. Grote , M. Hogan , O. Kononenko , R. Lehe , A. Myers , C. Ng , J. Park , R. Ryne , O. Shapoval , M. Thevenet , W. Zhang

Simulation of High Energy Physics experiments is widely used, necessary for both detector and physics studies. Detailed Monte-Carlo simulation algorithms are often limited due to the computational complexity of such methods, and therefore…

High Energy Physics - Experiment · Physics 2022-12-14 Fedor Ratnikov , Artem Maevskiy , Alexander Zinchenko , Victor Riabov , Alexey Sukhorosov , Dmitrii Evdokimov