High-Performance Programming: CPU and Memory Optimization

In modern computing, writing code that simply works is no longer enough; software must run efficiently to maximize hardware capabilities. This text-based course guides you through the core principles of high-performance programming, showing you how to structure code for modern CPU architectures. You will transition from writing standard code to engineering highly optimized algorithms. You will learn how the processor, cache, and memory interact, and how to write cache-conscious code that minimizes latency and maximizes throughput. What you'll learn: Understand how CPU architecture, registers, and cache hierarchies impact software speed; Analyze and implement matrix multiplication algorithms optimized for memory access patterns; Apply loop transformation techniques, including tiling and unrolling, to maximize cache reuse; Leverage SIMD vectorization for parallel data processing on modern hardware; Utilize compiler optimization flags and profiling tools to identify performance bottlenecks; Explore modern multi-threading basics to distribute workloads across CPU cores. The course begins with foundational computer architecture definitions and memory concepts before moving step-by-step into practical code optimization, cache-friendly data structures, and vectorization strategies. Each concept is reinforced with clear written explanations and code snippets. This course is designed for beginner to intermediate programmers with a basic understanding of C or C++ who want to learn how to write hardware-aware, high-performance software. No prior experience with low-level assembly or hardware design is required. Start reading today to unlock the true speed of modern processors.