Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation-Reference-Cited by-同舟云学术

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:56th Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Song Xinkai¹^ORCID,Wen Yuanbo¹^ORCID,Hu Xing²^ORCID,Liu Tianbo³^ORCID,Zhou Haoxuan⁴^ORCID,Han Husheng¹^ORCID,Zhi Tian¹^ORCID,Du Zidong¹^ORCID,Li Wei¹^ORCID,Zhang Rui¹^ORCID,Zhang Chen⁵^ORCID,Gao Lin¹^ORCID,Guo Qi¹^ORCID,Chen Tianshi⁶^ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, China

2. Chinese Academy of Sciences, Institute of Computing Technology, China

3. University of Science and Technology of China, China

4. University of Chinese Academy of Sciences, China

5. Shanghai Jiao Tong University, China

6. Cambricon Technologies, China

Funder

CAS Project for Young Scientists in Basic Research

Youth Innovation Promotion Association CAS

the NSF of China

the National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3614250

Reference43 articles.

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2. Hendrik Baatz Jonathan Granskog Marios Papas Fabrice Rousselle and Jan Novák. 2021. NeRF-Tex: Neural Reflectance Field Textures. In EGSR. Hendrik Baatz Jonathan Granskog Marios Papas Fabrice Rousselle and Jan Novák. 2021. NeRF-Tex: Neural Reflectance Field Textures. In EGSR.

3. A Point Set Generation Network for 3D Object Reconstruction from a Single Image

4. AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing

5. Parallel progressive photon mapping on GPUs

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