Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations-Reference-Cited by-同舟云学术

Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations

Published:2021-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
Short-container-title:

Author:

Ltaief Hatem¹,Cranney Jesse²,Gratadour Damien³,Hong Yuxi¹,Gatineau Laurent⁴,Keyes David¹

Affiliation:

1. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. Australian National University, Australia and University of Newcastle, Australia

3. Australian National University, Australia and Paris University, France

4. NEC Deutschland GmbH, Germany

Publisher

ACM

Link

Reference46 articles.

1. Fast Direct Methods for Gaussian Processes;Ambikasaran S.;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

Cited by 9 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

3. Scaling the “Memory Wall” for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

5. Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11