Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads

17 October 2023

Papers citing "Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads"

6 / 6 papers shown

Title
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 66 1 0 20 Jan 2025
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention Zhe Zhou Junling Liu Zhenyu Gu Guangyu Sun 64 43 0 18 Oct 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra Łukasz Dudziak Ilias Leontiadis Nicholas D. Lane HAI 115 44 0 28 Sep 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 194 1,033 0 06 Mar 2020
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 314 7,020 0 20 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,634 0 17 Apr 2017