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 - August 4, 2026
In case cover and title do not match, the title is correct

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

Price
HK$ 348
excl. VAT

Ordered from remote warehouse

Expected to be ready for shipping Sep 17 - 23
Get notified about new Andrew Sabot releases
Add to your iMusic wish list

Not rated yet

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)
Released August 4, 2026
ISBN13 9783032230997
Publishers Springer Nature Switzerland AG
Pages 110
Dimensions 150 × 220 × 20 mm   ·   402 g
Language German  

More from the same publisher