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CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference
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CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference

Mohammad Erfan Sadeghi
A. Fayyazi
Suhas Somashekar
Armin Abdollahi
Massoud Pedram
ArXiv (abs)PDFHTML

Papers citing "CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference"

11 / 11 papers shown
Title
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Hossein Entezari Zarch
Abdulla Alshabanah
Chaoyi Jiang
Murali Annavaram
50
1
0
11 Jul 2024
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers
Mohammad Erfan Sadeghi
A. Fayyazi
Seyedarmin Azizi
Massoud Pedram
71
11
0
21 Jun 2024
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy
Seyedarmin Azizi
M. Nazemi
Massoud Pedram
ViTMQ
73
2
0
08 Feb 2024
Training-Free Acceleration of ViTs with Delayed Spatial Merging
Training-Free Acceleration of ViTs with Delayed Spatial Merging
J. Heo
Seyedarmin Azizi
A. Fayyazi
Massoud Pedram
110
3
0
04 Mar 2023
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Haoran You
Zhanyi Sun
Huihong Shi
Zhongzhi Yu
Yang Zhao
Yongan Zhang
Chaojian Li
Baopu Li
Yingyan Lin
ViT
79
83
0
18 Oct 2022
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
Zechao Li
Mengshu Sun
Alec Lu
Haoyu Ma
Geng Yuan
...
Yanyu Li
M. Leeser
Zhangyang Wang
Xue Lin
Zhenman Fang
ViTMQ
67
54
0
10 Aug 2022
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
Mengshu Sun
Haoyu Ma
Guoliang Kang
Yi Ding
Tianlong Chen
Xiaolong Ma
Zhangyang Wang
Yanzhi Wang
ViT
82
46
0
17 Jan 2022
Post-Training Quantization for Vision Transformer
Post-Training Quantization for Vision Transformer
Zhenhua Liu
Yunhe Wang
Kai Han
Siwei Ma
Wen Gao
ViTMQ
101
343
0
27 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,566
0
25 Mar 2021
Training data-efficient image transformers & distillation through attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,802
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020

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