A survey of FPGA and ASIC designs for transformer inference acceleration and optimization-Reference-Cited by-同舟云学术

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A survey of FPGA and ASIC designs for transformer inference acceleration and optimization

Published:2024-10 Issue: Volume:155 Page:103247
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Kang Beom Jin,Lee Hae In,Yoon Seok Kyu,Kim Young Chan,Jeong Sang Beom,O Seong Jun,Kim Hyun^ORCID

Funder

Seoul National University of Science and Technology

Publisher

Elsevier BV

Reference103 articles.

1. Attention is all you need;Vaswani,2017

2. Vision transformer models for mobile/edge devices: A survey;Lee;Multimedia Syst.,2024

3. Discrete cosine transformed images are easy to recognize in vision transformers;Lee;IEIE Trans. Smart Process. Comput.,2023

4. Robust speech recognition via large-scale weak supervision;Radford,2023

5. Conformer: Convolution-augmented transformer for speech recognition;Gulati,2020

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