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ITU GSR 2024

ITU-T work programme

[2025-2028] : [SG5] : [Q6/5]

[Declared patent(s)]  - [Associated work]

Work item: L.DLEE
Subject/title: Deep Learning Computation Energy Efficiency Evaluation Framework and Metrics
Status: Under study [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2026 (Medium priority)
Liaison: ISO/IEC JTC1/SC42, SG16
Supporting members: China, China Telecom, State Grid Corporation of China (China), Korea (Republic of)
Summary: This recommendation clarifies the conceptual framework of deep learning computation energy efficiency. It also introduces the evaluation methods and the general metric designed for deep learning computation computation efficiency. The goal is to enhance the energy efficiency for deep learning scenarios.
Comment: -
Reference(s):
  Historic references:
-
Contact(s):
Lingyun WAN, Editor
Xin WANG, Editor
Jian YAO, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2024-07-03 16:30:54
Last update: 2025-06-19 14:16:55