Work

Using Analytical Performance/Power Model and Fine-Grained DVFS to Enhance AI Accelerator Energy Efficiency

Year: 2025

Type: conference-paper

Source: ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

DOI: 10.1145/3669940.3707231

Authors: Zibo Wang, Yijia Zhang, Fuchun Wei, Bingqiang Wang, Yanlin Liu, Zhiheng Hu, Jingyi Zhang, Xiaoxin Xu, Jian He, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Chen Tian

Institutions: Nanjing University, Peng Cheng Laboratory, Huawei Technologies (China)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Universitas Brawijaya

Award: G4575757816

OpenAlex ID: W4407197043

FWCI: 8.152

Cites: 39

Cited by: 9

Related to: 10