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A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators., , , , , , , , and . CoRR, (2023)FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective., , , , , , , , , and 14 other author(s). CoRR, (2022)Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms., , , , , , , , , and 4 other author(s). PASC, page 6:1-6:13. ACM, (2021)Throughput-oriented and Accuracy-aware DNN Training with BFloat16 on GPU., , and . IPDPS Workshops, page 1084-1087. IEEE, (2022)Efficient Design Space Exploration for Sparse Mixed Precision Neural Architectures., , , and . HPDC, page 265-276. ACM, (2022)Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems., , , , , , and . CCGRID, page 716-725. IEEE, (2022)A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads., , , , , , , , , and 14 other author(s). PMBS@SC, page 13-25. IEEE, (2022)Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines., , , , , and . ECSA (Tracks and Workshops), volume 13928 of Lecture Notes in Computer Science, page 402-417. Springer, (2022)Is Data Placement Optimization Still Relevant on Newer GPUs?, , , , , and . PMBS@SC, page 83-96. IEEE, (2018)Machine Learning Guided Optimal Use of GPU Unified Memory., , , , and . MCHPC@SC, page 64-70. IEEE, (2019)