002220833 001__ 2220833
002220833 005__ 20161001224633.0
002220833 0248_ $$aoai:cds.cern.ch:2220833$$pcerncds:FULLTEXT
002220833 037__ $$aATL-SOFT-SLIDE-2016-739
002220833 041__ $$aeng
002220833 088__ $$9ATL-COM-SOFT-2016-083
002220833 100__ $$0AUTHOR|(INSPIRE)INSPIRE-00014247$$0AUTHOR|(SzGeCERN)696602$$aFarrell, [email protected]$$uLawrence Berkeley National Laboratory and University of California, Berkeley
002220833 110__ $$aThe ATLAS collaboration
002220833 245__ $$aMulti-threaded ATLAS Simulation on Intel Knights Landing Processors
002220833 260__ $$c2016
002220833 269__ $$aGeneva$$bCERN$$c01 Oct 2016
002220833 300__ $$amult. p
002220833 520__ $$aThe Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processors is a potential game changer for HEP computing. With 72 cores and deep vector registers, the KNL cards promise significant performance benefits for highly-parallel, compute-heavy applications. Cori, the newest supercomputer at the National Energy Research Scientific Computing Center (NERSC), will be delivered to its users in two phases with the first phase online now and the second phase expected in mid-2016. Cori Phase 2 will be based on the KNL architecture and will contain over 9000 compute nodes with 96GB DDR4 memory. ATLAS simulation with the multithreaded Athena Framework (AthenaMT) is a great use-case for the KNL architecture and supercomputers like Cori. Simulation jobs have a high ratio of CPU computation to disk I/O and have been shown to scale well in multi-threading and across many nodes. In this presentation we will give an overview of the ATLAS simulation application with details on its multi-threaded design. Then, we will present a performance analysis of the application on KNL devices and compare it to a similar study done on a traditional x86 platform (NERSC edison) to demonstrate the capabilities of the architecture and evaluate the benefits of utilizing KNL platforms like cori for ATLAS production.
002220833 594__ $$aSLIDE
002220833 595__ $$aCERN CDS-Invenio WebSubmit
002220833 65017 $$2SzGeCERN$$aParticle Physics - Experiment
002220833 65027 $$2SzGeCERN$$aSoftware
002220833 6531_ $$9CERN$$aATLAS
002220833 6531_ $$9CERN$$aSimulation
002220833 6531_ $$9CERN$$aXeon Phi
002220833 6531_ $$9CERN$$aKnights Landing
002220833 6531_ $$9CERN$$aMultithreading
002220833 6531_ $$9CERN$$aAthenaMT
002220833 690C_ $$aCERN
002220833 690C_ $$aINTNOTE
002220833 690C_ $$aPRIVATLAS
002220833 690C_ $$aPUBLATLASSLIDE
002220833 693__ $$aCERN LHC$$eATLAS
002220833 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00305750$$0AUTHOR|(SzGeCERN)612198$$aDotti, [email protected]$$uSLAC National Accelerator Laboratory
002220833 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00070566$$0AUTHOR|(SzGeCERN)379610$$aCalafiura, [email protected]$$uLawrence Berkeley National Laboratory and University of California, Berkeley
002220833 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00100895$$0AUTHOR|(SzGeCERN)408706$$aLeggett, [email protected]$$uLawrence Berkeley National Laboratory and University of California, Berkeley
002220833 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00224746$$0AUTHOR|(SzGeCERN)575061$$aTsulaia, [email protected]$$uLawrence Berkeley National Laboratory and University of California, Berkeley
002220833 710__ $$5PH-EP
002220833 710__ $$gATLAS Collaboration
002220833 8564_ $$uhttp://cds.cern.ch/record/2215100$$yOriginal Communication (restricted to ATLAS)
002220833 8564_ $$81246879$$s1705800$$uhttp://cds.cern.ch/record/2220833/files/ATL-SOFT-SLIDE-2016-739.pdf
002220833 859__ [email protected]
002220833 916__ $$sn$$w201670
002220833 960__ $$a91
002220833 963__ $$aPUBLIC
002220833 970__ $$a000751473CER
002220833 980__ $$aPUBLATLASSLIDE
002220833 980__ $$aSlides