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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)Judging a type by its pointer: optimizing GPU virtual functions., , and . ASPLOS, page 241-254. ACM, (2021)Deadline-Aware Offloading for High-Throughput Accelerators., , , and . HPCA, page 479-492. IEEE, (2021)Characterizing Massively Parallel Polymorphism., , and . ISPASS, page 205-216. IEEE, (2021)Deterministic Atomic Buffering., , , , , , , and . MICRO, page 981-995. IEEE, (2020)Mitigating GPU Core Partitioning Performance Effects., , and . HPCA, page 530-542. IEEE, (2023)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)