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Warped-preexecution: A GPU pre-execution approach for improving latency hiding.

, , , , , and . HPCA, page 163-175. IEEE Computer Society, (2016)

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Network Variation and Fault Tolerant Performance Acceleration in Mobile Devices with Simultaneous Remote Execution., , , and . IEEE Trans. Computers, 64 (10): 2862-2874 (2015)Workload synthesis: Generating benchmark workloads from statistical execution profile., , , and . IISWC, page 120-129. IEEE Computer Society, (2014)Warped-preexecution: A GPU pre-execution approach for improving latency hiding., , , , , and . HPCA, page 163-175. IEEE Computer Society, (2016)Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming., , , , and . ISCA, page 230-242. IEEE Computer Society, (2016)Offloading of media transcoding for high-quality multimedia services., , , and . IEEE Trans. Consumer Electron., 58 (2): 691-699 (2012)Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs., , , , , , and . IEEE Trans. Computers, 68 (4): 609-616 (2019)APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs., , , , , , and . ISCA, page 191-203. IEEE Computer Society, (2016)Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit., , , , and . ISCA, page 609-621. IEEE Computer Society, (2016)Warped-compression: enabling power efficient GPUs through register compression., , , , , and . ISCA, page 502-514. ACM, (2015)WIR: Warp Instruction Reuse to Minimize Repeated Computations in GPUs., and . HPCA, page 389-402. IEEE Computer Society, (2018)