Hardware-software co-exploration and optimization for next-generation learning machines

Hardware-software co-exploration and optimization for next-generation learning machines

In an era dominated by the rapid evolution of Machine Learning (ML), particularly Deep Learning (DL), the efficient deployment of learning algorithms on power- and area-constrained hardware remains a paramount challenge. The scaling up of DL models to trillions of parameters and trillions of computa...

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Bibliographic Details
Main Author: Chen, Chunyun
Other Authors: Mohamed M. Sabry Aly
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
ASIC
Transformer
Vision transformer
GELU
Softmax
LayerNorm
Learning machine
Online Access:https://hdl.handle.net/10356/178423

Internet

https://hdl.handle.net/10356/178423

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