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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
Junkyeong Choi
Hyucksung Kwon
W. Lee
Jungwook Choi
Jieun Lim
ArXivPDFHTML

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

4 / 4 papers shown
Title
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU
  Tensor Cores
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
Boyuan Feng
Yuke Wang
Tong Geng
Ang Li
Yufei Ding
MQ
33
37
0
23 Jun 2021
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Orestis Zachariadis
Nitin Satpute
Juan Gómez Luna
J. Olivares
35
61
0
29 Sep 2020
Analyzing GPU Tensor Core Potential for Fast Reductions
Analyzing GPU Tensor Core Potential for Fast Reductions
R. Carrasco
R. Vega
C. Navarro
16
11
0
08 Mar 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
40
945
0
16 May 2018
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