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Andrew Sabot

Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix

Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix

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  • More about Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix

Format: Hardback
Length: 110 pages
Publication date: 02 July 2026
Publisher: Springer Nature Switzerland AG

This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization.


Dimension: 240 x 168 (mm)
ISBN-13: 9783032230997

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