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Link to original content: https://dblp.org/rec/conf/fpga/NurvitadhiVSMHH17.ris
Provider: Schloss Dagstuhl - Leibniz Center for Informatics Database: dblp computer science bibliography Content:text/plain; charset="utf-8" TY - CPAPER ID - DBLP:conf/fpga/NurvitadhiVSMHH17 AU - Nurvitadhi, Eriko AU - Venkatesh, Ganesh AU - Sim, Jaewoong AU - Marr, Debbie AU - Huang, Randy AU - Hock, Jason Ong Gee AU - Liew, Yeong Tat AU - Srivatsan, Krishnan AU - Moss, Duncan J. M. AU - Subhaschandra, Suchit AU - Boudoukh, Guy TI - Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? BT - Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2017, Monterey, CA, USA, February 22-24, 2017 SP - 5 EP - 14 PY - 2017// UR - http://dl.acm.org/citation.cfm?id=3021740 ER -