E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs

12 December 2018

Caiwen Ding

Papers citing "E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs"

20 / 20 papers shown

Title
Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design Yinhui Ma Tomomasa Yamasaki Zhehui Wang Tao Luo Bo Wang 199 0 0 31 Jul 2025
Ditto: Accelerating Diffusion Model via Temporal Value SimilarityInternational Symposium on High-Performance Computer Architecture (HPCA), 2025 Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 367 8 0 20 Jan 2025
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm $^2$ Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-DistortionInternational Symposium on Circuits and Systems (ISCAS), 2024 Ang Li Haolin Wu Yizhuo Wu Qinyu Chen Leo C. N. de Vreede Chang Gao 284 3 0 15 Oct 2024
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023 Hongjing Huang Yingtao Li Jie Sun Xueying Zhu Jie Zhang Liangchen Luo Jialin Li Zeke Wang 68 6 0 10 May 2023
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-designMicro (MICRO), 2022 Hongxiang Fan Thomas C. P. Chau Stylianos I. Venieris Royson Lee Alexandros Kouris Wayne Luk Nicholas D. Lane Mohamed S. Abdelfattah 147 79 0 20 Sep 2022
Building Your Own Trusted Execution Environments Using FPGAACM Asia Conference on Computer and Communications Security (AsiaCCS), 2022 Md. Armanuzzaman A. Sadeghi Ziming Zhao 151 14 0 08 Mar 2022
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers Alberto Bemporad 183 13 0 31 Dec 2021
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight SparsityIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Wei Niu Zhengang Xiaolong Ma Zhaoyang Han Gang Zhou Xuehai Qian Xue Lin Yanzhi Wang Bin Ren 106 23 0 25 Aug 2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal SparsityIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Chang Gao T. Delbruck Shih-Chii Liu 273 52 0 04 Aug 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 223 3 0 02 Aug 2021
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks Runbin Shi Zhaoyang Han Tong Geng Yuhao Ding Xiaolong Ma Hayden Kwok-Hay So Martin C. Herbordt Ang Li Yanzhi Wang MQ 159 16 0 11 May 2020
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network AccelerationDependable Systems and Networks (DSN), 2020 Behzad Salami Erhan Baturay Onural Ismail Emir Yüksel Fahrettin Koc Oguz Ergin A. Cristal O. Unsal H. Sarbazi-Azad O. Mutlu 179 48 0 04 May 2020
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech RecognitionDesign Automation Conference (DAC), 2020 Zhaoyang Han Siyue Wang Wei Niu Chengming Zhang Sheng Lin ... Yifan Gong Bin Ren Xinyu Lin Yanzhi Wang Dingwen Tao 143 48 0 19 Feb 2020
Block Switching: A Stochastic Approach for Deep Learning Security Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin S. Chin AAML 96 23 0 18 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient DescentAAAI Conference on Artificial Intelligence (AAAI), 2020 Pu Zhao Pin-Yu Chen Siyue Wang Xinyu Lin AAML 166 41 0 18 Feb 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method Xiaolong Ma Hao Sun Yifan Gong Tianyun Zhang Wei Niu ... Pu Zhao Jian Tang Xinyu Lin Bin Ren Yanzhi Wang 178 15 0 23 Jan 2020
Recurrent Neural Networks: An Embedded Computing PerspectiveIEEE Access (IEEE Access), 2019 Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 327 93 0 23 Jul 2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving CarsIEEE Consumer Electronics Magazine (CE), 2019 Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 221 12 0 02 May 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report) Zeke Wang Kaan Kara Hantian Zhang Gustavo Alonso O. Mutlu Ce Zhang 190 34 0 08 Mar 2019
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall MemoryACM Journal on Emerging Technologies in Computing Systems (ACM JETC), 2018 Mohammad Hossein Samavatian Anys Bacha Li Zhou R. Teodorescu 114 7 0 07 Nov 2018