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821“…Computing centers around the world participate in reprocessing providing tens of thousands of CPU-cores for a faster throughput. Reprocessing relies upon underlying ATLAS technologies providing reproducibility of results, scalable database access, orchestrated workflow and performance monitoring, dynamic workload sharing, and petascale data integrity control. …”
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822por Oda, S“…To allow the computing resources to cope with this increased dataflow without developing a backlog, recently significant improvements have been made in the ATLAS reconstruction software to reduce CPU time and file sizes for the produced datasets.…”
Publicado 2011
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823“…High-Energy Physics experiments like ALICE at LHC require petabytes of storage and thousand of CPU working in parallel to store, reconstruct and analyze the collected data. …”
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824por Oda, S“…To allow the computing resources to cope with this increased dataflow without developing a backlog, recently significant improvements have been made in the ATLAS reconstruction software to reduce CPU time and file sizes for the produced datasets.…”
Publicado 2011
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825por Vaniachine, A V“…Computing centers around the world participate in reprocessing providing tens of thousands of CPU-cores for a faster throughput. Reprocessing relies upon underlying ATLAS technologies providing reproducibility of results, scalable database access, orchestrated workflow and performance monitoring, dynamic workload sharing, and petascale data integrity control. …”
Publicado 2011
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826por Klimentov, A“…This talk will also present an overview of HEP experiments computing model evolution and increasing role of networking as one of major resources (in addition to storage and CPU) which should be taken into account by workload management and data management systems.…”
Publicado 2012
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827por Alessio, F, Brarda, L, Bonaccorsi, E, Campora Perez, D H, Chebbi, M, Frank, M, Gaspar, C, Granado Cardoso, L, Haen, C, v.Herwijnen, E, Jacobsson, R, Jost, B, Neufeld, N, Schwemmer, R, Zvyagin, A“…We also will report on how we try to optimise the usage of CPU resources during the running of the LHC ('deferred triggering') and the implications on the data acquisition.…”
Publicado 2014
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828por CAIRO, Valentina“…Solutions chosen for ATLAS (a mixture of detailed simulation and fast simulation/parameterisation) will be described and CPU and memory figures will be given. An extrapolation to the FCC-hh case will be tried by taking as example the calorimeter simulation.…”
Publicado 2016
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829por CAIRO, Valentina“…Solutions chosen for ATLAS (a mixture of detailed simulation and fast simulation/parameterisation) will be described and CPU and memory figures will be given. An extrapolation to the FCC-hh case will be tried by taking as example the calorimeter simulation.…”
Publicado 2016
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830por Errenst, Martin“…All efforts are focused on structural changes, which do not influence the simulation output and can be attributed to CPU specific issues, especially front end stalls and vectorization. …”
Publicado 2016
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831“…In these tests ATLAS reconstruction Jobs are run, examining the effects of overcommitting (more parallel processes running than CPU cores available), scheduling (staggered execution) and scaling (number of cores). …”
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832por The ATLAS collaboration“…The number of simulated events that are used to model this background is limited by the CPU resources available for the Monte Carlo simulation. …”
Publicado 2019
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833por Hamdaoui, Hassane“…The technical part of this thesis is dedicated to the tuning of argon emulation in the simulation of Transition Radiation Tracker (TRT) which was carried out by testing multiple parameters to decide the best one to be used for emulation argon from xenon without carrying out a full simulation which is time, CPU and disk space consuming.…”
Publicado 2021
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834“…Detailed performance measurements are presented, including throughput and execution time for both CPU and GPU algorithms, therefore establishing the corresponding speedup. …”
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835“…To minimise the number of operations performed on a bunch-by-bunch basis in the FPGA, some of the processing takes place in the CPU using averaged data.…”
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836por Chudasama, Ruchi“…We have benchmarked the ONNX inference with GPU and CPU using NERSC's Perlmutter cluster by building a docker image of the CMS software framework.…”
Publicado 2023
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837por Abolins, M, Blair, R, Bock, R, Bogaerts, J A C, Dawson, J, Ermoline, Y, Hauser, R, Kugel, A, Lay, R, Müller, M, Noffz, K H, Pope, B, Schlereth, J L, Werner, P“…Low cost SMP (symmetric multi-processor) systems provide substantial CPU and I/O capacity. These features together with the ease of system integration make them an attractive and cost effective solution for a number of real-time applications in event selection. …”
Publicado 2000
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838por Lari, T“…This approach is different from those used in the simulations developed in the more general framework of the ATLAS detector simulation, which is subjected to severe CPU and memory usage constraints and can not afford the detailed description of charge drift and signal induction processes described here. …”
Publicado 2003
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839“…In this contribution we present the results of a set of CPU-intensive and I/O-intensive tests we have run with PROOF on a GCE resources made available by Google for test purposes. …”
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840“…As a consequence, bootstrapping a software environment on a developer machine or deploying the software on production or user machines is usually perceived as tedious and iterative work, especially when one wants the native performances of bare metal.Docker containers provide an interesting avenue for packaging applications and development environment, relying on the Linux kernel capabilities for process isolation, adding git-like capabilities to the filesystem layer and providing (close to) native CPU, memory and I/O performances.…”
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Enlace del recurso