Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science - Andrew Sabot - 图书 - Springer Nature Switzerland AG - 9783032230997 - 2026年6月16日
如封面与标题不符,以标题为准

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


商品到货时接收邮件提醒
Do you have a profile? 登录
添加至iMusic心愿单

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.

介质类型 图书     Hardcover Book   (精装硬皮书)
已发行 2026年6月16日
ISBN13 9783032230997
出版商 Springer Nature Switzerland AG
页数 110
商品尺寸 150 × 220 × 20 mm   ·   256 g   (预估重量)

Mere med samme udgiver