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1806.01107
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GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
10 May 2018
Amir Yazdanbakhsh
Hajar Falahati
Philip J. Wolfe
K. Samadi
N. Kim
H. Esmaeilzadeh
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Papers citing
"GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks"
5 / 5 papers shown
Title
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
26
4
0
04 Feb 2022
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
Sheng-Chun Kao
Suvinay Subramanian
Gaurav Agrawal
Amir Yazdanbakhsh
T. Krishna
30
57
0
13 Jul 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
18
90
0
02 Mar 2021
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs
Deguang Wang
Junzhong Shen
M. Wen
Chunyuan Zhang
4
8
0
06 Mar 2019
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
166
1,940
0
24 Oct 2016
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