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As a cost-effective compute device, Graphic Processing Unit (GPU) has been widely embraced in the field of high performance computing. GPU is characterized by its massive thread-level parallelism and high memory bandwidth. Although GPU has exhibited tremendous potential, recent GPU architecture researches mainly focus on GPU compute units and full system exploration is rare due to the lack of accurate simulators that can reveal hardware organization of both GPU compute units and its memorydoi:10.1109/mascots.2013.39 dblp:conf/mascots/WangJYSLV13 fatcat:muvotcf4k5gzvhu74apdomtvh4