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Analyzing Machine Learning Workloads Using a Detailed GPU Simulator., , , , , , , , , and 1 other author(s). CoRR, (2018)A Quantitative Evaluation of Contemporary GPU Simulation Methodology., , and . SIGMETRICS (Abstracts), page 103-105. ACM, (2018)Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level., , , , , , , , , and 6 other author(s). HPCA, page 608-619. IEEE Computer Society, (2018)Divergence-aware warp scheduling., , and . MICRO, page 99-110. ACM, (2013)AccelWattch: A Power Modeling Framework for Modern GPUs., , , , , , , and . MICRO, page 738-753. ACM, (2021)Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads., , , , and . MICRO, page 724-737. ACM, (2021)Mitigating GPU Core Partitioning Performance Effects., , and . HPCA, page 530-542. IEEE, (2023)A SIMT Analyzer for Multi-Threaded CPU Applications., , and . ISPASS, page 248-250. IEEE, (2022)Characterizing the Runtime Effects of Object-Oriented Workloads on GPUs., , and . ISPASS, page 109-110. IEEE Computer Society, (2018)Locality-Centric Data and Threadblock Management for Massive GPUs., , , and . MICRO, page 1022-1036. IEEE, (2020)