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Analyzing GPU Tensor Core Potential for Fast Reductions

Analyzing GPU Tensor Core Potential for Fast Reductions

8 March 2019
R. Carrasco
R. Vega
C. Navarro
ArXivPDFHTML

Papers citing "Analyzing GPU Tensor Core Potential for Fast Reductions"

3 / 3 papers shown
Title
Accelerating Range Minimum Queries with Ray Tracing Cores
Accelerating Range Minimum Queries with Ray Tracing Cores
Enzo Meneses
C. Navarro
Héctor Ferrada
Felipe A. Quezada
19
8
0
05 Jun 2023
Recovering single precision accuracy from Tensor Cores while surpassing
  the FP32 theoretical peak performance
Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance
Hiroyuki Ootomo
Rio Yokota
19
32
0
07 Mar 2022
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
Junkyeong Choi
Hyucksung Kwon
W. Lee
Jungwook Choi
Jieun Lim
26
0
0
11 Feb 2022
1