High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores-Reference-Cited by-同舟云学术

High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores

Author:

Huang Hao¹^ORCID,Liu Xiao-Yang²^ORCID,Tong Weiqin¹^ORCID,Zhang Tao¹^ORCID,Walid Anwar²^ORCID,Wang Xiaodong²^ORCID

Affiliation:

1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

2. Department of Electrical Engineering, Columbia University, New York, NY, USA

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

Reference45 articles.

1. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc 33rd Int Conf Neural Inf Process Syst,2019

4. Parallelization of the QC-lib quantum computer simulator library;glendinning;Proc Int Conf Parallel Process Appl Math,2003

5. Unbiased gradient estimation in unrolled computation graphs with persistent evolution strategies;vicol;Proc 38th Int Conf Mach Learn,2021

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23