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{ "item_title" : "Fundamentals of Cpu/Gpu Power and Performance Modeling", "item_author" : [" Rany Elsayed "], "item_description" : "This book presents a comprehensive, academically rigorous, and industry-grounded framework for modeling power and performance in modern CPUs and GPUs. It bridges architectural theory, workload-driven performance analysis, and realistic chip-level power modeling, explicitly incorporating variations and constraints that are often treated as secondary or external--such as thermals, yield, reliability, and power delivery. By integrating these dimensions into a single framework, the book connects early architectural decisions to post-silicon behavior and manufacturing out-comes, and demonstrates how accurate power-performance (PnP) modeling can directly inform high-impact decisions including binning strategy, product stacking, and wafer utilization. Integrates coverage of CPU and GPU power and performance modeling under all constraints faced by real silicon Connects chip topology & microarchitecture to workload-driven performance modeling through the lens of power management Grounded in real environment and workflows used in actual silicon development across multiple product generations ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/234/111/3032341116_b.jpg", "price_data" : { "retail_price" : "119.99", "online_price" : "119.99", "our_price" : "119.99", "club_price" : "119.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Fundamentals of Cpu/Gpu Power and Performance Modeling|Rany Elsayed

Fundamentals of Cpu/Gpu Power and Performance Modeling

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Overview

This book presents a comprehensive, academically rigorous, and industry-grounded framework for modeling power and performance in modern CPUs and GPUs. It bridges architectural theory, workload-driven performance analysis, and realistic chip-level power modeling, explicitly incorporating variations and constraints that are often treated as secondary or external--such as thermals, yield, reliability, and power delivery. By integrating these dimensions into a single framework, the book connects early architectural decisions to post-silicon behavior and manufacturing out-comes, and demonstrates how accurate power-performance (PnP) modeling can directly inform high-impact decisions including binning strategy, product stacking, and wafer utilization.

  • Integrates coverage of CPU and GPU power and performance modeling under all constraints faced by real silicon
  • Connects chip topology & microarchitecture to workload-driven performance modeling through the lens of power management
  • Grounded in real environment and workflows used in actual silicon development across multiple product generations

This item is Non-Returnable

Details

  • ISBN-13: 9783032341112
  • ISBN-10: 3032341116
  • Publisher: Springer
  • Publish Date: February 2027
  • Page Count: 1034

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