Work

Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators

Year: 2024

Type: article

Source: IEEE Transactions on Computers

DOI: 10.1109/tc.2024.3475575

Authors: Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo

Institutions: Chinese Academy of Sciences, Institute of Computing Technology, University of Science and Technology of China, Institute of Software, Cambricon (China)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China

Awards: G160736790, G3584456257, G5585668992, G7537392905, G8014835415, G8462447369

OpenAlex ID: W4403210793

FWCI: 0.312

Cites: 37

Cited by: 1

Related to: 10