Designing Software for Many-Core Systems: Power and Performance

When building high-performance systems, software does not run in a vacuum; the underlying hardware constraints dictate your system's actual limits. This text-only course teaches you how to estimate many-core system limitations, analyze processor power consumption, and design optimized software like key-value stores around these physical boundaries. What you'll learn: • Understand the foundational hardware architecture of modern many-core processors and their physical constraints. • Compare power consumption profiles across different processor types and analyze their impact on system thermal limits. • Estimate performance bottlenecks in highly parallel environments using essential hardware-efficiency models. • Design key-value store architectures that respect hardware, memory, and power limitations. • Apply NUMA-aware design principles and concurrent data structures to maximize multi-core efficiency. • Analyze the critical trade-offs between processing speed, energy efficiency, and system reliability. You will start with the basic terminology of multi-core and many-core architectures, then progress to energy-efficiency calculations, and finally explore how to architect a robust key-value store that thrives under these hardware realities. Designed for beginner system architects, software engineers, and computer science students looking to bridge the gap between hardware constraints and software performance, this course requires no advanced hardware engineering background. Start reading today to master the art of hardware-aware software design.