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1241por Borodin, Mikhail, Barreiro Megino, Fernando Harald, De, Kaushik, Golubkov, Dmitry, Klimentov, Alexei, Maeno, Tadashi, Mashinistov, Ruslan, Padolski, Siarhei, Wenaus, Torre“…It achieves high utilization by combining dynamic job definition based on many criteria, such as input and output size, memory requirements and CPU consumption, with manageable scheduling policies and by supporting different kind of computational resources, such as GRID, clouds, supercomputers and volunteering computers. …”
Publicado 2017
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1242por Vahdat, Vahab, Alagoz, Oguzhan, Chen, Jing Voon, Saoud, Leila, Borah, Bijan J., Limburg, Paul J.“…It took 473 s for the trained DNN to predict outcomes for 10 million inputs, which would have required 190 CPU-years without our DNN. The overall calibration process took 104 CPU-days, which included building the data set, training, selecting, and hyperparameter tuning of the ML algorithms. …”
Publicado 2023
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Online Artículo Texto -
1243“…The memory and computation power required for Artemis-IC to handle the SickKids NICU will be 32 GB and 16 CPU cores, respectively. The required amount of storage was estimated as 8.6 TB per year. …”
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1244por Okada, Shogo, Murakami, Koichi, Incerti, Sebastien, Amako, Katsuya, Sasaki, Takashi“…Notably, MPEXS‐DNA allows calculations that are, at maximum, 2900 times faster than conventional simulations using a CPU.…”
Publicado 2019
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1245A new technique for the reconstruction, validation, and simulation of hits in the CMS Pixel Detector“…The first tests of this technique are encouraging and when fully implemented, the technique will enable the fast simulation of pixel hits that have the characteristics of the much more CPU-intensive Pixelav hits. In particular, it may be the only practical technique available to simulate hits from a radiation damaged detector in CMSSW.…”
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1246por Adorisio, C, Ask, S, Beauchemin, P, Bell, P, Biglietti, M, Coccaro, A, Damazio, D, Ehrenfeld, W, Faulkner, P, George, S, Giagu, S, Goncalo, R, Hamilton, A, Jones, G, Kirk, J, Kwee, R, Lane, J, Enoque Ferreira de Lima, D, Masik, J, Mincer, A, Monticelli, F, Omachi, C, Oyarzun, A, Panikashvili, N, Potter, C, Quinonez, F, Reinsch, A, Robinson, M, Rodríguez, D, Sarkisyan-Grinbaum, E, Sidoti, A, Sinev, N, Strom, D, Sutton, M, Ventura, A, Winklmeier, F, Zhao, L“…After a first processing level based on hardware, the final event selection is based on custom software running on two CPU farms, containing around two thousand multi-core machines. …”
Publicado 2009
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1247por Mościcki, Jakub T, Woś, Maciej, Lamanna, Massimo, de Forcrand, Philippe, Philipsen, Owe“…We describe how we have used simultaneously ${\cal O}(10^3)$ nodes of the EGEE Grid, accumulating ca. 300 CPU-years in 2-3 months, to determine an important property of Quantum Chromodynamics. …”
Publicado 2009
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1248por Fleischmann, S“…These simulated data sets are needed with large statistics and high precision level, which makes their production a CPU-cost intensive task. ATLAS has thus concentrated on optimizing both full and fast detector simulation techniques to achieve this goal within the computing limits of the collaboration. …”
Publicado 2010
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1249por Pierro, Giuseppe Antonio“…However, many of these applications have several drawbacks: usually they are not open-source, they provide interfaces only with a specific kind of database, they are platform-dependent and very CPU and memory consuming. jSPyDB is a free web based tool written using Python and Javascript. …”
Publicado 2010
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1250por Melo, Andrew Malone“…Emerging cloud-computing services such as Amazon's Elastic Compute Cloud (EC2) offer short-term CPU and storage resources with costs based on usage. …”
Publicado 2011
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1251por Strauss, E“…The algorithm tasks must be completed within the time constraints of the Level 2 trigger, with limited CPU and bandwidth allocations. This places an emphasis on efficient algorithm design and the minimization of data requests.…”
Publicado 2011
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1252por Strauss, E“…The algorithm tasks must be completed within the time constraints of the Level 2 trigger, with limited CPU and bandwidth allocations. This places an emphasis on efficient algorithm design and the minimization of data requests.…”
Publicado 2011
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1253por Crooks, D, Calafiura, P, Harrington, R, Purdie, S, Severini, H, Skipsey, S, Tsulaia, V, Washbrook, A“…This has now been validated for production and delivers a significant reduction on overall memory footprint with negligible CPU overhead. Before AthenaMP can be routinely run on the LHC Computing Grid, it must be determined how the computing resources available to ATLAS can best exploit the notable improvements delivered by switching to this multi-process model. …”
Publicado 2012
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1254por Washbrook, Andrew John“…This has now been validated for production and delivers a significant reduction on overall memory footprint with negligible CPU overhead. Before AthenaMP can be routinely run on the LHC Computing Grid, it must be determined how the computing resources available to ATLAS can best exploit the notable improvements delivered by switching to this multi-process model. …”
Publicado 2012
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1255por Granado Cardoso, Luis“…In these periods it is possible to profit from the unused processing capacity to reprocess earlier datasets with the newest applications (code and calibration constants), thus reducing the CPU capacity needed on the Grid. The offline computing environment is based on LHCb-DIRAC (Distributed Infrastructure with Remote Agent Control) to process physics data on the Grid. …”
Publicado 2012
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1256por Van Der Ster, Daniel Colin“…--HTML-->Frequent validation and stress testing of the network, storage and CPU resources of a grid site is essential to achieve high performance and reliability. …”
Publicado 2012
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1257por Hauth, Thomas“…With the increasing luminosity delivered by the LHC, the treatment of recorded data requires extraordinary large computing resources, also in terms of CPU usage. A possible solution to cope with this task is the exploitation of the features offered by the latest microprocessor architectures. …”
Publicado 2012
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1258por Uchiyama, Kunio, Arakawa, Fumio, Kasahara, Hironori, Nojiri, Tohru, Noda, Hideyuki, Tawara, Yasuhiro, Idehara, Akio, Iwata, Kenichi, Shikano, Hiroaki“…This book defines the heterogeneous multicore architecture and explains in detail several embedded processor cores including CPU cores and special-purpose processor cores that achieve highly arithmetic-level parallelism. …”
Publicado 2012
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1259“…With the increasing luminosity delivered by the LHC, the treatment of recorded data requires extraordinary large computing resources, also in terms of CPU usage. A possible solution to cope with this task is the exploitation of the features offered by the latest microprocessor architectures. …”
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1260por Panitkin, S, Barreiro Megino, F, Caballero Bejar, J, Benjamin, D, DiGirolamo, A, Gable, I, Hendrix, V, Hover, J, Kucharczuk, K, Medrano LLamas, R, Ohman, H, Paterson, M, Sobie, R, Taylor, R, Walker, R, Zaytsev, A“…The ATLAS Cloud Computing R&D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R&D group has gained a significant insight into the cloud computing landscape and has identified points that still need to be addressed in order to fully utilize this technology.…”
Publicado 2013
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