Point-X: A Spatial-Locality-Aware Architecture for Energy-Efficient Graph-Based Point-Cloud Deep Learning-Reference-Cited by-同舟云学术

Point-X: A Spatial-Locality-Aware Architecture for Energy-Efficient Graph-Based Point-Cloud Deep Learning

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Zhang Jie-Fang¹,Zhang Zhengya¹

Affiliation:

1. University of Michigan, Ann Arbor, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3466752.3480081

Reference60 articles.

1. Rabbit Order: Just-in-Time Parallel Reordering for Fast Graph Analysis

2. Point convolutional neural networks by extension operators

3. Clustering a DAG for CAD databases

4. Can Chen Luca Zanotti Fragonara and Antonios Tsourdos. 2019. GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud. arXiv:1905.08705 Can Chen Luca Zanotti Fragonara and Antonios Tsourdos. 2019. GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud. arXiv:1905.08705

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