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CERN Document Server 2,031 записей найдено  1 - 10следующийконец  перейти к записи: Поиск длился 1.35 секунд. 
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Adding multi-core support to the ALICE Grid Middleware / Weisz, Sergiu (Bucharest, Polytechnic Inst.) ; Ferrer, Marta Bertran (CERN)
The major upgrade of the ALICE experiment for the LHC Run3 poses unique challenges and opportunities for new software development. In particular, the entirely new data taking and processing software of ALICE relies on process parallelism and large amounts of shared objects in memory. [...]
2023 - 7 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012009 Fulltext: PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012009
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Client Request Analysis Tool for CERN ALICE Grid Services / Margineanu, Cristian (Bucharest, Polytechnic Inst.) ; Grigoras, Costin (Unlisted, CH) ; Carabas, Mihai (Bucharest, Polytechnic Inst.) ; Weisz, Sergiu (Bucharest, Polytechnic Inst.) ; Mihai, Darius (Bucharest, Polytechnic Inst.) ; Mihailescu, Maria-Elena (Bucharest, Polytechnic Inst.) ; Tapus, Nicolae (Bucharest, Polytechnic Inst.)
ALICE is an experiment hosted at the CERN facilities in Geneva. The data collected by the experiment is distributed in multiple geo-locations. [...]
2020 - 6 p. - Published in : 10.1109/CDS49703.2020.00097
In : 2020 International Conference on Computing and Data Science (CDS), Stanford, CA, USA, 1 - 2 Aug 2020, pp.462-467
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CMS readiness for multi-core workload scheduling / Perez-Calero Yzquierdo, A (PIC, Bellaterra ; Madrid, CIEMAT) ; Balcas, J (Caltech) ; Hernandez, J (Madrid, CIEMAT) ; Aftab Khan, F (NCP, Islamabad) ; Letts, J (UC, San Diego) ; Mason, D (Fermilab) ; Verguilov, V (CLMI, Sofia)
In the present run of the LHC, CMS data reconstruction and simulation algorithms benefit greatly from being executed as multiple threads running on several processor cores. The complexity of the Run 2 events requires parallelization of the code to reduce the memory-per- core footprint constraining serial execution programs, thus optimizing the exploitation of present multi-core processor architectures. [...]
2017 - 8 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 052030 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.052030
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Multi-core processing and scheduling performance in CMS / Hernandez Calama , Jose (Madrid, CIEMAT) /CMS Collaboration
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per core in the current single-core processing model in High Energy Physics. [...]
CMS-CR-2012-090.- Geneva : CERN, 2012 - 10 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032055 Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032055
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Multi-core processing and scheduling performance in CMS / Hernandez Calama, Jose (speaker) (Centro de Investigaciones Energ. Medioambientales y Tecn. - (ES)
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per core in the current single-core processing model in High Energy Physics. [...]
2012 - 1366. Conferences; Computing in High Energy and Nuclear Physics (CHEP) 2012 External links: Talk details; Event details In : Computing in High Energy and Nuclear Physics (CHEP) 2012
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Multi-core job submission and grid resource scheduling for ATLAS AthenaMP / Washbrook, Andrew John (speaker) (University of Edinburgh (GB))
AthenaMP is the multi-core implementation of the ATLAS software framework and allows the efficient sharing of memory pages between multiple threads of execution. 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. [...]
2012 - 1574. Conferences; Computing in High Energy and Nuclear Physics (CHEP) 2012 External links: Talk details; Event details In : Computing in High Energy and Nuclear Physics (CHEP) 2012
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Multi-core job submission and grid resource scheduling for ATLAS AthenaMP / Crooks, D (Edinburgh U.) ; Calafiura, P (LBNL, Berkeley) ; Harrington, R (Edinburgh U.) ; Purdie, S (Edinburgh U.) ; Severini, H (Oklahoma U.) ; Skipsey, S (Glasgow U.) ; Tsulaia, V (LBNL, Berkeley) ; Washbrook, A (Edinburgh U.)
AthenaMP is the multi-core implementation of the ATLAS software framework and allows the efficient sharing of memory pages between multiple threads of execution. [...]
ATL-SOFT-PROC-2012-029. - 2012.
Original Communication (restricted to ATLAS) - Full text
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Improving Scheduling Efficiency of a Global Multi-core HTCondor Pool in CMS / Letts, James (UC, San Diego) /CMS Collaboration
Scheduling multi-core workflows in a global HTCondor pool is a multi-dimensional problem whose solution depends on the requirements of the job payloads, the characteristics of available resources, and the boundary conditions such as fair share and prioritization imposed on the job matching to resources. Within the context of a dedicated task force, CMS has increased significantly the scheduling efficiency of workflows in reusable multi-core pilots by various improvements to the limitations of the glideinWMS pilots, accuracy of resource requests, efficiency and speed of the HTCondor infrastructure, and job matching algorithms..
CMS-CR-2018-303.- Geneva : CERN, 2018 - 9 p. Fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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JAliEn: the new ALICE high-performance and high-scalability Grid framework / Martinez Pedreira, M (CERN) ; Grigoras, C (CERN) ; Yurchenko, V (CERN)
The ALICE experiment will undergo extensive hardware and software upgrades for the LHC Run3. This translates in significant increase of the CPU and storage resources required for data processing, and at the same time the data access rates will grow linearly with the amount of resources. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 03037 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03037
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CMS event processing multi-core efficiency status / Jones, C D (Fermilab) /CMS
In 2015, CMS was the first LHC experiment to begin using a multi-threaded framework for doing event processing. This new framework utilizes Intel’s Thread Building Block library to manage concurrency via a task based processing model. [...]
2017 - 7 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 042008 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042008
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