The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

13 November 2019

Papers citing "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design"

18 / 18 papers shown

Title
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 54 4 0 07 Feb 2024
Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices Gaoxiang Duan Junkai Zhang Xiaoying Zheng Yongxin Zhu 61 2 0 22 Nov 2023
Exploring shared memory architectures for end-to-end gigapixel deep learning Lucas W. Remedios L. Cai Samuel W. Remedios Karthik Ramadass Aravind Krishnan ... C. Cui Shunxing Bao Lori A. Coburn Yuankai Huo Bennett A. Landman MedIm VLM 76 0 0 24 Apr 2023
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 62 6 0 12 Sep 2022
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem Yuki Asada Victor Fu Apurva Gandhi Advitya Gemawat Lihao Zhang ... Vikrant Gupta Ehimwenma Nosakhare Dalitso Banda Rathijit Sen Matteo Interlandi 76 10 0 10 Sep 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement Fu-Chieh Chang Yu-Wei Tseng Ya-Wen Yu Ssu-Rui Lee Alexandru Cioba ... Chien-Yi Yang Ren-Chu Wang Yao-Wen Chang Tai-Chen Chen Tung-Chieh Chen OffRL 60 5 0 13 Apr 2022
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 74 10 0 22 Oct 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 55 36 0 27 Jun 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training Chia-Yu Chen Jiamin Ni Songtao Lu Xiaodong Cui Pin-Yu Chen ... Naigang Wang Swagath Venkataramani Vijayalakshmi Srinivasan Wei Zhang K. Gopalakrishnan 79 67 0 21 Apr 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 108 152 0 16 Feb 2021
Searching for Fast Model Families on Datacenter Accelerators Sheng Li Mingxing Tan Ruoming Pang Andrew Li Liqun Cheng Quoc V. Le N. Jouppi 90 34 0 10 Feb 2021
The Hardware Lottery Sara Hooker 96 213 0 14 Sep 2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model Haojie Liu Ming Lu Zhan Ma Fan Wang Zhihuang Xie Xun Cao Yao Wang 69 82 0 09 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 112 85 0 02 Jul 2020
Surprisal-Triggered Conditional Computation with Neural Networks Loren Lugosch Derek Nowrouzezahrai B. Meyer 75 6 0 02 Jun 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 107 7 0 24 Apr 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 612 956 0 02 Mar 2020
Near-Optimal Hardware Design for Convolutional Neural Networks Byungik Ahn 11 1 0 06 Feb 2020