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Processing-in-Memory for AI: From Circuits to Systems
This book provides a comprehensive introduction to processing-in-memory (PIM) technology that can be a viable computer architecture in the era of AI and big data.
Processing-in-Memory for AI: From Circuits to Systems
Item #: 245005368

Processing-in-Memory for AI: From Circuits to Systems

Item #: 245005368

TTD 530

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This book provides a comprehensive introduction to processing-in-memory (PIM) technology that can be a viable computer architecture in the era of AI and big data.
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What Stands Out

Optimized Performance
This product enhances AI processing efficiency by integrating memory and processing capabilities, significantly reducing latency and increasing throughput compared to traditional architectures.
Energy Efficiency
By minimizing data movement between memory and processors, this solution lowers energy consumption, addressing critical power usage challenges in AI applications.
Scalable Architecture
Designed for flexibility, this system scales easily to accommodate both small and large AI workloads, making it ideal for diverse applications ranging from edge devices to large data centers.

Product Details

Shop Processing-in-Memory for AI: From Circuits to Systems online at a best price in Trinidad and Tobago. B0B66G28F4
Publisher Springer
Publication date July 9, 2022
Language English
File size 41.0 MB
Screen Reader Supported
Enhanced typesetting Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 268 pages
ISBN-13 978-3030987817
Page Flip Enabled
Item Weight1 lbs (450 grams)

Product Description

Processing-in-Memory for AI: From Circuits to Systems

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AI & Semantics Editorial Review

Processing-in-Memory for AI: From Circuits to Systems is a comprehensive exploration of the cutting-edge integration of memory processing in artificial intelligence technologies. Published by Springer on July 9, 2022, this 268-page book delves into innovative concepts that enhance computational efficiency, particularly important in the realm of AI. With enhanced typesetting supported for better readability, the book is designed for both researchers and practitioners and is accessible to screen readers. The content aligns with current technological advancements and addresses practical applications, making it a valuable resource in the evolving field of AI.

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Pros

  • Comprehensive resource for AI and memory processing
  • Enhanced typesetting for improved readability
  • Supports screen readers for accessibility
  • In-depth exploration of innovative concepts
  • Includes practical applications in AI

Cons

  • Not suitable for beginners unfamiliar with the topic

Product Price History

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