Hugh Potter, Dossay Oryspayev, Pieter Maris, Masha Sosonkina, James Vary, Sven Binder, Angelo Calci, Joachim Langhammer, Robert Roth, Umit Catalyurek, Erik Saule
This paper describes some applications of GPU acceleration in ab initio nuclear structure calculations. Specifically, we discuss GPU acceleration of the software package MFDn, a parallel nuclear structure eigensolver. We modify the matrix construction stage to run partly on the GPU. On the Titan supercomputer at the Oak Ridge Leadership Computing Facility, this produces a […]
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Jan Sikorski, Sebastian Cygert, Joanna Porter-Sobieraj, Marcin Slodkowski, Piotr Krzyzanowski, Natalia Ksiazek, Przemyslaw Duda
Hydrodynamics calculations have been successfully used in studies of the bulk properties of the Quark-Gluon Plasma, particularly of elliptic flow and shear viscosity. However, there are areas (for instance event-by-event simulations for flow fluctuations and higher-order flow harmonics studies) where further advancement is hampered by lack of efficient and precise 3+1D program. This problem can […]
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Qi Xu, Gang-Lin Yu, Kan Wang, Jia-Long Sun
In this paper, the adaptability of the neutron diffusion numerical algorithm on GPUs was studied, and a GPUaccelerated multi-group 3D neutron diffusion code based on finite difference method was developed. The IAEA 3D PWR benchmark problem was calculated in the numerical test. The results demonstrate both high efficiency and adequate accuracy of the GPU implementation […]
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T. Fukuda, S. Fukunaga, H. Ishida, K. Kodama, T. Matsuo, S. Mikado, S. Ogawa, H. Shibuya, J. Sudo
Nuclear emulsion, a tracking detector with sub-micron position resolution, has played a successful role in the field of particle physics and the analysis speed has been substantially improved by the development of automated scanning systems. This paper describes a newly developed automated scanning system and its application to the analysis of nuclear fragments emitted almost […]
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D. Emeliyanov, J. Howard
Results on the performance and viability of data-parallel algorithms on Graphics Processing Units (GPUs) in the ATLAS Level 2 trigger system are presented. We describe the existing trigger data preparation and track reconstruction algorithms, motivation for their optimization, GPU-parallelized versions of these algorithms, and a "client-server" solution for hybrid CPU/GPU event processing used for integration […]
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J. Mattmann and C. Schmitt
The reconstruction and simulation of collision events is a major task in modern HEP experiments involving several ten thousands of standard CPUs. On the other hand the graphics processors (GPUs) have become much more powerful and are by far outperforming the standard CPUs in terms of floating point operations due to their massive parallel approach. […]
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Martin Merck, Dmitry Chirkin, Juan Carlos Diaz Velez, Heath Skarlupka
GPGPU computing offers extraordinary increases in pure processing power for parallelizable applications. In IceCube we use GPUs for ray-tracing of cherenkov photons in the Antarctic ice as part of detector simulation. We report on how we implemented the mixed simulation production chain to include the processing on the GPGPU cluster for the IceCube Monte-Carlo production. […]
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Tianyu Liu, Aiping Ding, Wei Ji, X. George Xu, Christopher D. Carothers, Forrest B. Brown
Monte Carlo (MC) method is able to accurately calculate eigenvalues in reactor analysis. Its lengthy computation time can be reduced by general-purpose computing on Graphics Processing Units (GPU), one of the latest parallel computing techniques under development. The method of porting a regular transport code to GPU is usually very straightforward due to the "embarrassingly […]
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Raman Sehgal, A. K. Mohanty
A collimated emission of hadrons usually called Jet is the experimental counterparts of the partons (quarks and gluons) which are not observed separately. The CMS detector at LHC is ideally designed to study jet tomography which is an important probe to investigate the hot and dense medium formed during the heavy ion collisions. Although CMS […]
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Alexandru Jipa, Ciprian-Mihai Mitu, Mihai Niculescu, Sorin-Ion Zgura
One of the main challenges in High Energy Physics (HEP) is to make fast analysis of high amount of experimental and simulated data. For example, the amount of data generated at Large Hadron Collider (LHC) is estimated to reach 1 PetaByte/year. The time taken to analyze the data and to obtain fast results depends on […]
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S. Gorbunov, D. Rohr, K. Aamodt, T. Alt, H. Appelshauser, A. Arend, M. Bach, B. Becker, S. Bottger, T. Breitner, H. Busching, S. Chattopadhyay, J. Cleymans, I. Das,O. Djuvsland, H. Erdal, R. Fearick, O. S. Haaland, P. T. Hille, S. Kalcher, K. Kanaki, U. Kebschull, I. Kisel, M. Kretz, C. Lara, S. Lindal, V. Lindenstruth, A. A. Masoodi, G. Ovrebekk, R. Panse, J. Peschek, M. Ploskon, T. Pocheptsov, T. Rascanu, M. Richter, D. Rohrich, B. Skaali, T. Steinbeck, A. Szostak, J. Thader, T. Tveter, K. Ullaland, Z. Vilakazi, R. Weis, P. Zelnicek
The on-line event reconstruction in ALICE is performed by the High Level Trigger, which should process up to 2000 events per second in proton-proton collisions and up to 300 central events per second in heavy-ion collisions, corresponding to an input data stream of 30 GB/s. In order to fulfill the time requirements, a fast on-line […]
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Lancelot Perrotte, Bruno Bodin, Laurent Chodorge
Before an intervention on a nuclear site, it is essential to study different scenarios to identify the less dangerous one for the operator. Therefore, it is mandatory to dispose of an efficient dosimetry simulation code with accurate results. One classical method in radiation protection is the straight-line attenuation method with build-up factors. In the case […]
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