Performance Metrics in Computer Architecture: CPI and Amdahl's Law

Understanding how fast a computer truly is requires moving beyond simple clock speeds and diving into performance metrics used by computer engineers. This course provides a solid foundation in the core concepts of processor performance evaluation. By the end of this course, you will be able to dissect system performance using industry-standard metrics, analyze the theoretical limits of speedup, and apply foundational laws to predict the impact of hardware and software changes on overall execution time. What you'll learn: * Understand the fundamental relationship between clock speed, instruction count, and overall execution time. * Define and calculate Cycles Per Instruction (CPI) to evaluate a processor's efficiency in executing different types of code. * Apply Amdahl's Law to determine the maximum theoretical speedup achievable through parallel processing or optimization. * Analyze the trade-offs between different architectural choices based on their impact on key performance metrics. * Practice evaluating performance scenarios, including the effects of instruction set design and modern multicore systems. The course begins by establishing essential terminology and performance criteria. We then move step-by-step through the derivation and application of the CPI equation and Amdahl's Law, using practical, written examples to reinforce understanding. This course is designed for absolute beginners in computer science or engineering who need a clear, text-based introduction to the principles of computer architecture performance. No prior knowledge of CPU design is required. Start reading now to build your foundational knowledge of how modern computers achieve speed.