Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science - Andrew Sabot - Books - Springer Nature Switzerland AG - 9783032230997 - July 2, 2026
In case cover and title do not match, the title is correct

Andrew Sabot
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science

Price
NZ$ 74
excl. VAT
Expected delivery Jul 10 - 15

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

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.

Media Books     Hardcover Book   (Book with hard spine and cover)
To be released July 2, 2026
ISBN13 9783032230997
Publishers Springer Nature Switzerland AG
Pages 110
Dimensions 150 × 220 × 20 mm   ·   256 g   (Weight (estimated))

Mere med samme udgiver

See all of Andrew Sabot ( e.g. Hardcover Book )