CERN Accelerating science

CERN Document Server Znaleziono 4 rekordów  Szukanie trwało 0.61 sekund. 
1.
Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors / Fernández, Plácido (CERN) ; del Rio Astorga, David (Carlos III U., Madrid) ; Dolz, Manuel F (Carlos III U., Madrid) ; Fernández, Javier (Carlos III U., Madrid) ; Awile, Omar (CERN) ; García, J Daniel (Carlos III U., Madrid)
Real time data processing is an important component of particle physics experiments with large computing resource requirements. As the Large Hadron Collider (LHC) at CERN is preparing for its next upgrade the LHCb experiment is upgrading its detector for a 30x increase in data throughput. [...]
2018 - 10 p. - Published in : 10.1109/PDP2018.2018.00121
In : 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, United Kingdom, 21 - 23 Mar 2018, pp.741-750
2.
Accelerating the RICH Particle Detector Algorithm on Intel Xeon Phi / Quast, Christina (CERN) ; Pohl, Angela (Berlin, Tech. U.) ; Cosenza, Biagio (Berlin, Tech. U.) ; Ben, Juurlink (Berlin, Tech. U.) ; Schwemmer, Rainer (CERN)
At the LHC, particles are collided in order to understand how the universe was created. Those collisions are called events and generate large quantities of data, which have to be pre-filtered before they are stored to hard disks. [...]
2018 - 8 p. - Published in : 10.1109/PDP2018.2018.00066
In : 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, United Kingdom, 21 - 23 Mar 2018, pp.368-375
3.
Multi-threaded ATLAS simulation on Intel Knights Landing processors / Farrell, Steven (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Dotti, Andrea (SLAC National Accelerator Laboratory)
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processors is a potential game changer for HEP computing. [...]
ATL-SOFT-PROC-2017-017.
- 2017. - 7 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article
4.
Multi-threaded ATLAS Simulation on Intel Knights Landing Processors / Farrell, Steven (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Dotti, Andrea (SLAC National Accelerator Laboratory) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) /ATLAS Collaboration
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processors is a potential game changer for HEP computing. With 72 cores and deep vector registers, the KNL cards promise significant performance benefits for highly-parallel, compute-heavy applications. [...]
ATL-SOFT-SLIDE-2016-739.- Geneva : CERN, 2016 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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