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Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism

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Bibliographic Details
Published in:IEEE Transactions on Emerging Topics in Computing
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Transactions on Emerging Topics in Computing
description
discipline_display Computer Science
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format Online Article
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genre Journal Article
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journal_source_facet IEEE Transactions on Emerging Topics in Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_auth Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_full Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_fullStr Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_full_unstemmed Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_short Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism
title_sort edge-optimized vision transformers: a co-designed hardware-software framework for efficient attention mechanism
topic Computer Science
General
Computer Science
url http://ieeexplore.ieee.org/document/11366079