QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration

30 June 2022

A. Inci

Siri Garudanagiri Virupaksha

Aman Jain

Ting-Wu Chin

Venkata Vivek Thallam

Ruizhou Ding

Diana Marculescu

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Papers citing "QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration"

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Title
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization Minsu Kim Seongmin Hong RyeoWook Ko S. Choi Hunjong Lee Junsoo Kim Joo-Young Kim Jongse Park 113 0 0 24 Mar 2025
Efficient Deep Learning Using Non-Volatile Memory Technology A. Inci Mehmet Meric Isgenc Diana Marculescu 98 3 0 27 Jun 2022
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality A. Inci Siri Garudanagiri Virupaksha Aman Jain Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 60 2 0 20 May 2022
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators A. Inci Siri Garudanagiri Virupaksha Aman Jain Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 54 5 0 17 May 2022
Rethinking Co-design of Neural Architectures and Hardware Accelerators Yanqi Zhou Xuanyi Dong Berkin Akin Mingxing Tan Daiyi Peng Tianjian Meng Amir Yazdanbakhsh Da Huang Ravi Narayanaswami James Laudon 141 26 0 17 Feb 2021
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning A. Inci Mehmet Meric Isgenc Diana Marculescu 70 20 0 08 Dec 2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems A. Inci Evgeny Bolotin Yaosheng Fu Gal Dalal Shie Mannor D. Nellans Diana Marculescu AI4CE 48 13 0 08 Dec 2020
Accelerator-aware Neural Network Design using AutoML Suyog Gupta Berkin Akin 84 66 0 05 Mar 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks Lei Yang Zheyu Yan Meng Li Hyoukjun Kwon Liangzhen Lai T. Krishna Vikas Chandra Weiwen Jiang Yiyu Shi 80 116 0 10 Feb 2020
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration Hasan Genç Seah Kim Alon Amid Ameer Haj-Ali Vighnesh Iyer ... Ion Stoica Jonathan Ragan-Kelley Krste Asanović B. Nikolić Y. Shao 83 230 0 22 Nov 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 120 5,076 0 20 Nov 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 66 259 0 28 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 172 18,224 0 28 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 79 171 0 28 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 106 941 0 31 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 810 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 94 726 0 20 Feb 2019
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 129 884 0 21 Nov 2018
SCALE-Sim: Systolic CNN Accelerator Simulator A. Samajdar Yuhao Zhu P. Whatmough Matthew Mattina Tushar Krishna 104 137 0 16 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 57 45 0 14 Sep 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 74 965 0 21 Aug 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 167 3,148 0 15 Dec 2017
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks Ruizhou Ding Z. Liu Rongye Shi Diana Marculescu R. D. Blanton MQ 56 37 0 02 Dec 2017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks E. Cai Da-Cheng Juan Dimitrios Stamoulis Diana Marculescu 51 132 0 15 Oct 2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks A. Parashar Minsoo Rhu Anurag Mukkara A. Puglielli Rangharajan Venkatesan Brucek Khailany J. Emer S. Keckler W. Dally 81 1,131 0 23 May 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,644 0 16 Apr 2017
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 135 2,090 0 20 Jun 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 132 2,461 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,864 0 01 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014