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

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"

9 / 9 papers shown

Title
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 58 1 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-Distortion Ang Li Haolin Wu Yizhuo Wu Qinyu Chen Leo C. N. de Vreede Chang Gao 21 0 0 15 Oct 2024
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
Building Your Own Trusted Execution Environments Using FPGA Md. Armanuzzaman A. Sadeghi Ziming Zhao 9 10 0 08 Mar 2022
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers Alberto Bemporad 17 11 0 31 Dec 2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity Chang Gao T. Delbruck Shih-Chii Liu 14 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
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
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 8 12 0 02 May 2019