End-to-End LU Factorization of Large Matrices on GPUs-Reference-Cited by-同舟云学术

End-to-End LU Factorization of Large Matrices on GPUs

Published:2023-02-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
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Author:

Xia Yang¹,Jiang Peng²,Agrawal Gagan³,Ramnath Rajiv¹

Affiliation:

1. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA

2. Department of Computer Science, University of Iowa, Iowa City, Iowa, USA

3. School of Computer and Cyber Sciences, Augusta University, Augusta, GA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3572848.3577486

Reference40 articles.

1. In-depth analyses of unified virtual memory system for GPU accelerated computing

2. OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training

3. An adaptive LU factorization algorithm for parallel circuit simulation

4. Xiaoming Chen , Yu Wang , and Huazhong Yang . 2013 . NICSLU: An adaptive sparse matrix solver for parallel circuit simulation . IEEE transactions on computer-aided design of integrated circuits and systems 32, 2 (2013), 261--274. Xiaoming Chen, Yu Wang, and Huazhong Yang. 2013. NICSLU: An adaptive sparse matrix solver for parallel circuit simulation. IEEE transactions on computer-aided design of integrated circuits and systems 32, 2 (2013), 261--274.

5. An EScheduler-Based Data Dependence Analysis and Task Scheduling for Parallel Circuit Simulation

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