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Jae-Won Chung

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Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
Kareus jointly optimizes GPU frequency, SM allocation and launch timing, and kernel scheduling using multi-objective Bayesian optimization per partition to…
Talk on
Lightning Talk: Energy-Efficient Deep Learning with PyTorch and ZeusPyTorch Conference 20232023-10-16
Zeus integrates with PyTorch to measure GPU time and energy via a Zeus monitor, and automatically tunes GPU knobs (power limit and SM frequency) with a power…
Lightning on
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingNSDI 20232023-04-17
Zeus is an online optimizer that jointly tunes batch size and GPU power limit to minimize energy per target accuracy, using an exploration‑exploitation…
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