N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based
Heterogeneous Computing Cores

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores

15 December 2021

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Papers citing "N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores"

19 / 19 papers shown

Title
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 93 2,234 0 11 Jan 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 74 86 0 08 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 908 42,520 0 28 May 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 104 399 0 01 Jan 2020
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 77 459 0 14 Aug 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 92 528 0 29 Apr 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 810 0 21 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 84 365 0 18 Feb 2019
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 78 273 0 30 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 132 885 0 21 Nov 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 70 67 0 02 Oct 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 36 22 0 20 Jul 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 80 955 0 16 May 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 111 1,349 0 10 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 234 19,353 0 13 Jan 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 170 3,148 0 15 Dec 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
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 85 429 0 03 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015

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