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NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs., , , , , , , , , and . PACT, page 333-345. ACM, (2022)MGSim + MGMark: A Framework for Multi-GPU System Research., , , , , , , , , and 3 other author(s). CoRR, (2018)Airavat: Improving energy efficiency of heterogeneous applications., , , , and . DATE, page 731-736. IEEE, (2018)Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs., , , , and . ICPE, page 96-106. ACM, (2018)Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance., , , , , , , , and . PACT, page 455-466. ACM, (2020)Intelligent classification of electronic music., , , and . ISSPIT, page 31-35. IEEE Computer Society, (2014)GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs., , , , , , , , , and 1 other author(s). ISPASS, page 13-23. IEEE, (2021)MGPUSim: enabling multi-GPU performance modeling and optimization., , , , , , , , , and 8 other author(s). ISCA, page 197-209. ACM, (2019)Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems., , , , , , , , , and . HPCA, page 596-609. IEEE, (2020)Evaluating Performance Tradeoffs on the Radeon Open Compute Platform., , , , , , and . ISPASS, page 209-218. IEEE Computer Society, (2018)