Performance Modeling of Computer Systems

This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation.

This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.

What You'll Learn

• Master performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.
• Refresh core computer architecture concepts essential for accurate modeling.
• Apply best practices to real-world scenarios and start contributing with confidence.
• Build hands-on skills through exercises using widely adopted simulation frameworks.
• Adapt modeling techniques to new hardware and emerging technologies.

Who Is This Book For

Beginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals.

Part I: Foundations. - Chapter 1: Introduction to Performance Modeling. - Chapter 2: Architecture Through the Modeler' s Lens. - Chapter 3: Workload Selection and Experimental Validity. - Chapter 4: Simulator in a Nutshell. - Part II: The Simulation Pipeline. - Chapter 5: Trace Collection and Management. - Chapter 6: Sampling and Simulation Efficiency. - Chapter 7: Understanding Simulation Output. - Part III: Memory System Modeling. - Chapter 8: Memory System Architecture. - Chapter 9: Cache and Prefetcher Simulation. - Chapter 10: DRAM Simulation. - Part IV: CPU Core Modeling. - Chapter 11: CPU Core Architecture. - Chapter 12: CPU Simulation. - Chapter 13: Multicore CPU Simulation. - Part V: GPU Modeling. - Chapter 14: GPU Architecture. - Chapter 15: GPU Simulation. - Part VI: Accelerator Modeling. - Chapter 16: Tensor Accelerator Architecture. - Chapter 17: Accelerator Simulation. - Part VII: Power Modeling. - Chapter 18: Power Modeling - A Walkthrough. - Closing Thoughts.