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From Picojoules to Gigawatt-hours - Energy-to-Completion and GPU DVFS for LLM Workloads

NHR@FAU via YouTube

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This talk examines energy-to-completion and GPU DVFS for LLM workloads, including how decoder-layer shape and sequence length affect energy and runtime tradeoffs. It also considers how parallelism and communication shape training-time models and what graph-based simulators can predict.

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From Picojoules to Gigawatt-hours–Energy-to-Completion and GPU DVFS for LLM Workloads

Taught by

NHR@FAU

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