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Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science Andrew Sabot
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Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science
Andrew Sabot
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.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 4 août 2026 |
| ISBN13 | 9783032230997 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 110 |
| Dimensions | 150 × 220 × 20 mm · 402 g |
| Langue et grammaire | Allemand |
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