AI Accelerator Survey and Trends

AI Accelerator Survey and Trends

18 September 2021

Albert Reuther

Peter Michaleas

Michael Jones

Papers citing "AI Accelerator Survey and Trends"

16 / 16 papers shown

Title
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Alessio Burrello Daniele Jahier Pagliari 46 0 0 24 Feb 2025
Modeling Performance of Data Collection Systems for High-Energy Physics W. Olin-Ammentorp Xingfu Wu Andrew A. Chien 21 0 0 27 Jun 2024
GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge Jose Duato José I. Mestre M. F. Dolz Enrique S. Quintana-Ortí 9 1 0 15 Dec 2023
Lincoln AI Computing Survey (LAICS) Update Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner ELM 24 4 0 13 Oct 2023
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining Sadasivan Shankar 27 3 0 11 Oct 2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference Matteo Risso Alessio Burrello G. M. Sarda Luca Benini Enrico Macii M. Poncino Marian Verhelst Daniele Jahier Pagliari 28 4 0 08 Jun 2023
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection Soyed Tuhin Ahmed M. Tahoori 32 3 0 16 May 2023
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources A. Babu Tekin Bicer S. Kandel Tao Zhou Daniel J. Ching S. Henke Sinivsa Veseli Ryan Chard Antonino Miceli Mathew J. Cherukara 21 6 0 09 Apr 2023
Perspectives on AI Architectures and Co-design for Earth System Predictability M. Mudunuru James A. Ang M. Halappanavar Simon D. Hammond Maya Gokhale ... Tushar Krishna S. Sreepathi Matthew R. Norman Ivy Bo Peng Philip W. Jones 15 0 0 07 Apr 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators Malte J. Rasch C. Mackin Manuel Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr Abu Sebastian Vijay Narayanan 13 83 0 16 Feb 2023
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 27 117 0 21 Nov 2022
Statistical Modeling of Soft Error Influence on Neural Networks Haitong Huang Xing-xiong Xue Cheng Liu Ying Wang Tao Luo Long Cheng Huawei Li Xiaowei Li 26 7 0 12 Oct 2022
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models William Hackett Stefan Trawicki Zhengxin Yu N. Suri Peter Garraghan MIACV AAML 13 3 0 13 Sep 2022
The MIT Supercloud Workload Classification Challenge Benny J. Tang Qiqi Chen Matthew L. Weiss Nathan C. Frey Joseph McDonald ... Lindsey McEvoy Baolin Li Devesh Tiwari V. Gadepally S. Samsi 11 2 0 12 Apr 2022
Machines & Influence: An Information Systems Lens Shashank Yadav 43 1 0 26 Nov 2021
The Computational Limits of Deep Learning Neil C. Thompson Kristjan Greenewald Keeheon Lee Gabriel F. Manso VLM 23 506 0 10 Jul 2020