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

by Andrew Sabot
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₹4,850.00
Original price ₹4,850.00
Original price ₹4,850.00
₹4,850.00
Current price ₹4,850.00

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Book cover type: Hardcover
  • ISBN13: 9783032230997
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 110
  • Original Price: USD 44.99
  • Language: English
  • Edition: N/A
  • Item Weight: 500 grams
  • BISAC Subject(s): Probability & Statistics / General

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.

Andrew Sabot, Ph.D., is a Software Engineer working on Machine Learning at Google. He received his Ph.D. (2025) and M.S. (2021) in Computer Science from Harvard University. Dr. Sabot's work focuses on the intersection of hardware-aware kernels, model compression, and transformer inference acceleration to enable the sustainable deployment of state-of-the-art AI.

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