CERN Accelerating science

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1.
Explorations of the Viability of ARM and Xeon Phi for Physics Processing / Abdurachmanov, David (Vilnius U.) ; Arya, Kapil (Northeastern U., Comp. Sci. Coll.) ; Bendavid, Josh (CERN) ; Boccali, Tommaso (INFN, Pisa ; Pisa, Scuola Normale Superiore ; Pisa U.) ; Cooperman, Gene (Northeastern U., Comp. Sci. Coll. ; Northeastern U.) ; Dotti, Andrea (SLAC ; CERN ; INFN, Pisa ; Pisa U.) ; Elmer, Peter (Princeton U. ; Wisconsin U., Madison) ; Eulisse, Giulio (Fermilab) ; Giacomini, Francesco (INFN, CNAF) ; Jones, Christopher D. (Fermilab ; Cambridge U.) et al.
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-processor for scientific computing. We describe our experience porting software to these processors and running benchmarks using real physics applications to explore the potential of these processors for production physics processing..
arXiv:1311.1001.- 2014 - 7 p. - Published in : J. Phys.: Conf. Ser. 513 (2014) 052008 Fulltext: arXiv:1311.1001 - PDF; fermilab-conf-14-057-cms - PDF; fermilab-conf-14-056-cms - PDF; External link: FERMILABCONF
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.052008
2.
Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi / Abdurachmanov, David (Vilnius U.) ; Bockelman, Brian (Nebraska U.) ; Elmer, Peter (Princeton U.) ; Eulisse, Giulio (Fermilab) ; Knight, Robert (Princeton U.) ; Muzaffar, Shahzad (Fermilab)
Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. [...]
arXiv:1410.3441.- 2014 External link: Preprint
In : 16th International workshop on Advanced Computing and Analysis Techniques in physics (ACAT), Prague, Czech Republic, 1 - 5 Sep 2014, pp.012033
3.
Physics Briefing Book : Input for the Strategy Group to draft the update of the European Strategy for Particle Physics
CERN-ESU-002 CERN-ESG-005. - Geneva : CERN, 2013. - 220 p.

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4.
First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC / Halyo, V. (Princeton U.) ; LeGresley, P. (Princeton U.) ; Lujan, P. (Princeton U.) ; Karpusenko, V. (Unlisted, US) ; Vladimirov, A. (Unlisted, US)
Recent innovations focused around {\em parallel} processing, either through systems containing multiple processors or processors containing multiple cores, hold great promise for enhancing the performance of the trigger at the LHC and extending its physics program. The flexibility of the CMS/ATLAS trigger system allows for easy integration of computational accelerators, such as NVIDIA's Tesla Graphics Processing Unit (GPU) or Intel's \xphi, in the High Level Trigger. [...]
arXiv:1310.7556.- 2014-04-07 - 13 p. - Published in : JINST 9 (2014) P04005 IOP Open Access article: PDF; Preprint: PDF; External link: Preprint
5.
Evaluierung die FPGA Koprozessoren zur Beschleunigung der Ausführung von Spurrekonstruktionsalgorithmen im ATLAS LVL2-Trigger / Khomich, Andrei
In the scope of this thesis one of the possible approaches to acceleration the tracking algorithms using the hybrid FPGA/CPU systems has been investigated. [...]
U. : Mannheim , 2006. - 113 p.

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6.
Evaluating the transport layer of the ALFA framework for the Intel(®) Xeon Phi(™) Coprocessor / Santogidis, Aram (CERN ; NUIM, Maynooth) ; Hirstius, Andreas (KETEK, Munich) ; Lalis, Spyros (Thessaly U.)
The ALFA framework supports the software development of major High Energy Physics experiments. As part of our research effort to optimize the transport layer of ALFA, we focus on profiling its data transfer performance for inter-node communication on the Intel Xeon Phi Coprocessor. [...]
2015 - 8 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 092021 IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.092021
7.
Electromagnetic Physics Models for Parallel Computing Architectures / Amadio, G (Sao Paulo State U.) ; Ananya, A (CERN) ; Apostolakis, J (CERN) ; Aurora, A (CERN) ; Bandieramonte, M (CERN) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) et al.
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generation detector simulation, has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. [...]
FERMILAB-CONF-16-652-CD.- 2016 - 5 p. - Published in : J. Phys.: Conf. Ser. 762 (2016) 012014 Fulltext: openaccess_Amadio_2016_J._Phys._Conf._Ser._762_012014 - PDF; fermilab-conf-16-652-cd - PDF; External link: FERMILABCONF
In : 17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016, pp.012014
8.
First experience of vectorizing electromagnetic physics models for detector simulation / Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (Catania Astrophys. Observ.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Bitzes, G (CERN) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; de Fine Licht, J (U. Copenhagen (Main)) ; Duhem, L (Intel, Santa Clara) et al.
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prototype for detector simulations has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. [...]
FERMILAB-CONF-15-597-CD.- 2015 - 6 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 092013 IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.092013
9.
Data transfer on manycore processors for high throughput applications / Santogidis, Aram (speaker) (CERN)
In this talk I will present my efforts to implement a data transfer mechanism for the Intel Xeon Phi Coprocessor and its integration in the ZeroMQ message queue library. The latter is used extensively at CERN to support online and offline processing. [...]
2016 - 1186. Workshops; ICE-DIP closing workshop External links: Talk details; Event details In : ICE-DIP closing workshop
10.
Use of hardware accelerators for ATLAS computing / Bauce, Matteo (INFN, Rome ; Rome U.) ; Boeing, Rene (Wuppertal U. ; FH Munster, U. Appl. Sci.) ; Dankel, Maik (Wuppertal U. ; FH Munster, U. Appl. Sci.) ; Howard, Jacob (Oxford U.) ; Kama, Sami (Southern Methodist U.) /ATLAS collaboration
Modern HEP experiments produce tremendous amounts of data. These data are processed by in-house built software frameworks which have lifetimes longer than the detector itself [...]
ATL-SOFT-SLIDE-2014-606.- Geneva : CERN, 2015 - 17 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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