RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration

29 November 2023

Papers citing "RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration"

7 / 7 papers shown

Title
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models Cong Guo Feng Cheng Zhixu Du James Kiessling Jonathan Ku ... Qilin Zheng Guanglei Zhou Hai Li-Wei Li Yiran Chen 31 7 0 08 Oct 2024
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference Christopher Wolters Xiaoxuan Yang Ulf Schlichtmann Toyotaro Suzumura 34 11 0 12 Jun 2024
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 30 82 0 14 May 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 671 0 24 Jan 2021
GPU Computing with Python: Performance, Energy Efficiency and Usability H. Holm A. Brodtkorb M. L. Sætra 4 23 0 05 Dec 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,950 0 20 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017