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Muhammad Etisam Ul Haq

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#large language models Open access Oct 2026

tokenwatt: ground-truth energy measurement for LLM inference across heterogeneous CPU power islands

A RAPL-based measurement harness for large language model inference on heterogeneous CPUs. Separates prefill from decode, records KV cache growth at every decode step, subtracts a verified idle baseline, and degrades to timing-only measurement rather than estimating energy when the counters are unreadable. Includes the...

Muhammad Etisam Ul Haq · 0 citations

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