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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2dccb0302d8b765b1450e86f4b2798951/amerwafai",         
         "tags" : [
            "HLRS","SCOPE","absolute","and","calculation","cell","colored","core","distributed","dynamic","force","gather","intel","interaction","law","linked","memory","molecular","myown","newton","operation","optimization","parallel","parallelization","performance","phi","processing","range","scatter","shared","short","site","third","xeon","yellow"
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         "interHash" : "902fd5f88d25cf9f9a271091a6bbd41a",
         "label" : "Optimized Force Calculation of Molecular Dynamics Simulations for the Intel Xeon Phi",
         "user" : "amerwafai",
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         "date" : "2016-01-29 09:34:55",
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         "pub-type": "conference",
         "booktitle": "Euro-Par 2015: Parallel Processing","series": "LNCS","address":"Vienna, Austria",
         "year": "2015", 
         "url": "", 
         
         "author": [ 
            "Nikola Tchipev","Amer Wafai","Colin W. Glass","Wolfgang Eckhardt","Alexander Heinecke","Hans-Joachim Bungartz","Philipp Neumann"
         ],
         "authors": [
         	
            	{"first" : "Nikola",	"last" : "Tchipev"},
            	{"first" : "Amer",	"last" : "Wafai"},
            	{"first" : "Colin W.",	"last" : "Glass"},
            	{"first" : "Wolfgang",	"last" : "Eckhardt"},
            	{"first" : "Alexander",	"last" : "Heinecke"},
            	{"first" : "Hans-Joachim",	"last" : "Bungartz"},
            	{"first" : "Philipp",	"last" : "Neumann"}
         ],
         
         "editor": [ 
            "Jesper Larsson Träff","Sascha Hunold","Francesco Versaci"
         ],
         "editors": [
         	
            	{"first" : "Jesper Larsson",	"last" : "Träff"},
            	{"first" : "Sascha",	"last" : "Hunold"},
            	{"first" : "Francesco",	"last" : "Versaci"}
         ],
         "volume": "9233","abstract": "We provide details on the shared-memory parallelization for manycore architectures of the molecular dynamics framework ls1-mardyn, including an optimization of the SIMD vectorization for multi-centered molecules. The novel shared-memory parallelization scheme allows to re- tain Newton's third law optimization and exhibits very good scaling on many-core devices such as a full Xeon Phi card running 240 threads. The Xeon Phi can thus be exploited and delivers comparable performance as IvyBridge nodes in our experiments.",
         "date-added" : "2015-08-19 09:05:42 +0000",
         
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