C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

14 March 2018

Caiwen Ding

Papers citing "C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs"

20 / 20 papers shown

Title
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors Xinyu Ding Lexuan Chen Siyu Liao Zhongfeng Wang 45 0 0 01 May 2025
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition Yu Gong Miao Yin Lingyi Huang Chunhua Deng Yang Sui Bo Yuan 22 6 0 05 Dec 2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design Hongxiang Fan Thomas C. P. Chau Stylianos I. Venieris Royson Lee Alexandros Kouris Wayne Luk Nicholas D. Lane Mohamed S. Abdelfattah 34 56 0 20 Sep 2022
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics Febin P. Sunny Mahdi Nikdast S. Pasricha 17 17 0 31 Aug 2022
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 22 8 0 14 Feb 2022
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity Chang Gao T. Delbruck Shih-Chii Liu 19 44 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 20 1 0 02 Aug 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices Zhe Zhou Bizhao Shi Zhe Zhang Yijin Guan Guangyu Sun Guojie Luo GNN 31 32 0 13 Apr 2021
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification Seyed Abolfazl Ghasemzadeh E. Tavakoli M. Kamal A. Afzali-Kusha Massoud Pedram 11 13 0 07 Jan 2021
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA Bingbing Li Santosh Pandey Haowen Fang Yanjun Lyv Ji Li Jieyang Chen Mimi Xie Lipeng Wan Hang Liu Caiwen Ding AI4CE 6 168 0 16 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 46 81 0 02 Jul 2020
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks Runbin Shi Peiyan Dong Tong Geng Yuhao Ding Xiaolong Ma Hayden Kwok-Hay So Martin C. Herbordt Ang Li Yanzhi Wang MQ 10 13 0 11 May 2020
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks Théodore Bluche Maël Primet Thibault Gisselbrecht ObjD MQ 20 24 0 25 Feb 2020
Taurus: A Data Plane Architecture for Per-Packet ML Tushar Swamy Alexander Rucker M. Shahbaz Ishan Gaur K. Olukotun 21 82 0 12 Feb 2020
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 16 89 0 29 Sep 2019
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator Tian Zhao Yaqi Zhang K. Olukotun 22 16 0 26 Sep 2019
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu X. Lin Xuehai Qian Yanzhi Wang MQ 12 64 0 12 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 Dec 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 11 72 0 11 Jul 2018
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs Zhe Li Shuo Wang Caiwen Ding Qinru Qiu Yanzhi Wang Yun Liang GNN 14 21 0 20 Mar 2018