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DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space
  for DNN Accelerators through Analytical Modeling
v1v2v3v4 (latest)

DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling

10 December 2022
L. Mei
Koen Goetschalckx
Arne Symons
Marian Verhelst
ArXiv (abs)PDFHTML

Papers citing "DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling"

13 / 13 papers shown
Title
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
Mohammadali Shakerdargah
Shan Lu
Chao Gao
Di Niu
130
0
0
20 Nov 2024
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
Yannan Nellie Wu
Po-An Tsai
A. Parashar
Vivienne Sze
J. Emer
44
58
0
12 May 2022
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for
  Layer Fusion in DNN Accelerators
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators
Sheng-Chun Kao
Xiaoyu Huang
T. Krishna
AI4CE
85
9
0
26 Jan 2022
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space
  Search
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
56
93
0
02 Mar 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
K. Seshadri
Berkin Akin
James Laudon
Ravi Narayanaswami
Amir Yazdanbakhsh
92
121
0
20 Feb 2021
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge
  Inference
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference
Chao-Tsung Huang
Yu-Chun Ding
Huan-Ching Wang
Chi-Wen Weng
Kai-Ping Lin
Li-Wei Wang
Li-De Chen
39
44
0
13 Oct 2019
Interstellar: Using Halide's Scheduling Language to Analyze DNN
  Accelerators
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
Xuan S. Yang
Mingyu Gao
Qiaoyi Liu
Jeff Setter
Jing Pu
...
Kaidi Cao
Heonjae Ha
Priyanka Raina
Christos Kozyrakis
M. Horowitz
166
228
0
10 Sep 2018
Learning Deep Convolutional Networks for Demosaicing
Learning Deep Convolutional Networks for Demosaicing
Nai-Sheng Syu
Yu-Sheng Chen
Yung-Yu Chuang
51
74
0
11 Feb 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
235
4,638
0
16 Apr 2017
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
127
2,985
0
01 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
143
1,388
0
20 Oct 2015
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