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ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms., , , and . ISPASS, page 81-92. IEEE, (2020)Maximizing concave piecewise affine functions on the unitary group., , and . Optim. Lett., 10 (4): 655-665 (2016)Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks., , , , , , , and . ISCA, page 37:1-37:13. ACM, (2023)Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models., , , , and . ISCA, page 581-596. ACM, (2022)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)Extending the BT NAS parallel benchmark to exascale computing., , and . SC, page 94. IEEE/ACM, (2012)Sensor-based Methodological Observations for Studying Online Learning., , , , , , and . SmartLearn@IUI, page 25-30. ACM, (2017)Automatic target prediction and subtle gaze guidance for improved spatial information recall., and . SAP, page 99-106. ACM, (2015)Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems., , , , , , , , , and . IPDPS, page 723-732. IEEE Computer Society, (2015)High Performance Non-uniform FFT on Modern X86-based Multi-core Systems., , , , , , , , , and . IPDPS, page 449-460. IEEE Computer Society, (2012)