Learning from distinctive candidates to optimize reduced-precision
convolution program on tensor cores

Learning from distinctive candidates to optimize reduced-precision convolution program on tensor cores

11 February 2022

Papers citing "Learning from distinctive candidates to optimize reduced-precision convolution program on tensor cores"

10 / 10 papers shown

Title
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores Boyuan Feng Yuke Wang Tong Geng Ang Li Yufei Ding MQ 35 37 0 23 Jun 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 371 40,217 0 22 Oct 2020
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Orestis Zachariadis Nitin Satpute Juan Gómez Luna J. Olivares 37 61 0 29 Sep 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 113 391 0 11 Jun 2020
GPU Tensor Cores for fast Arithmetic Reductions C. Navarro R. Carrasco R. Barrientos J. A. Riquelme R. Vega 22 35 0 15 Jan 2020
Analyzing GPU Tensor Core Potential for Fast Reductions R. Carrasco R. Vega C. Navarro 16 11 0 08 Mar 2019
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 61 396 0 21 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 46 945 0 16 May 2018
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 478 27,231 0 02 Dec 2015