RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

15 June 2018

Mohsen Imani

Mohammad Samragh

Papers citing "RAPIDNN: In-Memory Deep Neural Network Acceleration Framework"

4 / 4 papers shown

Title
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Chong Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 199 0 0 18 Jan 2025
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin ... Hang Liu Xuehai Qian M. N. Bojnordi Yanzhi Wang Caiwen Ding 24 68 0 16 Jun 2021
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 27 105 0 12 Oct 2019
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Mohammad Bavandpour Shubham Sahay M. Mahmoodi D. Strukov 24 29 0 07 Aug 2019