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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
ArXiv (abs)PDFHTML

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

8 / 8 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
54
11
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
49
34
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
66
1
0
11 Feb 2022
Squeeze: Efficient Compact Fractals for Tensor Core GPUs
Squeeze: Efficient Compact Fractals for Tensor Core GPUs
Felipe A. Quezada
C. Navarro
N. Hitschfeld-Kahler
B. Bustos
36
8
0
03 Jan 2022
Accelerating Compact Fractals with Tensor Core GPUs
Accelerating Compact Fractals with Tensor Core GPUs
Felipe A. Quezada
C. Navarro
18
0
0
25 Oct 2021
Efficient GPU Thread Mapping on Embedded 2D Fractals
Efficient GPU Thread Mapping on Embedded 2D Fractals
C. Navarro
Felipe A. Quezada
N. Hitschfeld-Kahler
R. Vega
B. Bustos
68
8
0
25 Apr 2020
GPU Tensor Cores for fast Arithmetic Reductions
GPU Tensor Cores for fast Arithmetic Reductions
C. Navarro
R. Carrasco
R. Barrientos
J. A. Riquelme
R. Vega
42
35
0
15 Jan 2020
A Computational Model for Tensor Core Units
A Computational Model for Tensor Core Units
Rezaul Chowdhury
Francesco Silvestri
Flavio Vella
29
15
0
19 Aug 2019
1