Approximate computing for machine learning

Approximate Computing has emerged as a promising paradigm to enhance computational efficiency by introducing controlled inaccuracies in arithmetic operations. This study explores the application of static approximate adders (AAs) within a machine learning context, specifically the K-means clus...

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書目詳細資料
主要作者: Syed Mohammed Mosayeeb Al Hady Zaheen
其他作者: Douglas Maskell
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2025
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在線閱讀:https://hdl.handle.net/10356/183990
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機構: Nanyang Technological University
語言: English