Fundamentals of CPU/GPU Power and Performance Modeling
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Beschreibung
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 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
Autor*in
Rany Elsayed
Themen in »Fundamentals of CPU/GPU Power and Performance Modeling«
Computer Architecture Performance per Cycle Power Modeling GPU Power and Performance Modeling Power–Performance (PnP) Modeling CPU Power and Performance Modeling System-on-Chip (SoC) Modeling