There is a newer version of the record available.

Published October 8, 2026 | Version v1.0.0

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

Authors/Creators

  • 1. Institute of Data Science, University of Engineering and Technology, Lahore

Description

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 complete dataset and every run discarded during development, with the reason each was rejected.

Notes

If you use this software or dataset, please cite it as below.

Files

etisamhaq/tokenwatt-v1.0.0.zip

Files (1.7 MB)

Name Size
md5:9feb9480af726525cec467a6d703dcaa
1.7 MB Preview Download

Additional details

Related works