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{ "item_title" : "Processing-In-Memory for AI", "item_author" : [" Joo-Young Kim", "Bongjin Kim", "Tony Tae-Hyoung Kim "], "item_description" : "This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/098/783/3030987833_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Processing-In-Memory for AI|Joo-Young Kim

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

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Overview

This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).

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Details

  • ISBN-13: 9783030987831
  • ISBN-10: 3030987833
  • Publisher: Springer
  • Publish Date: July 2023
  • Dimensions: 9.21 x 6.14 x 0.38 inches
  • Shipping Weight: 0.56 pounds
  • Page Count: 165

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