Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference

16 May 2020

Papers citing "Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference"

6 / 6 papers shown

Title
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability Zishen Wan Jiayi Qian Yuhang Du Jason J. Jabbour Yilun Du Yang Katie Zhao A. Raychowdhury Tushar Krishna Vijay Janapa Reddi LM&Ro 106 0 0 26 Apr 2025
Periodic Online Testing for Sparse Systolic Tensor Arrays C. Peltekis Chrysostomos Nicopoulos G. Dimitrakopoulos 54 0 0 25 Apr 2025
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs Geonhwa Jeong S. Damani Abhimanyu Bambhaniya Eric Qin C. Hughes S. Subramoney Hyesoon Kim T. Krishna MoE 48 24 0 17 Feb 2023
Dynamic N:M Fine-grained Structured Sparse Attention Mechanism Zhaodong Chen Yuying Quan Zheng Qu L. Liu Yufei Ding Yuan Xie 36 22 0 28 Feb 2022
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration Zhi-Gang Liu P. Whatmough Yuhao Zhu Matthew Mattina MQ 35 75 0 16 Jul 2021
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 64 82 0 02 Jul 2020