The article uses a vivid CPU‑as‑a‑factory metaphor to explain how instruction pipelines work, why they improve performance, how pipeline depth affects speed and power, and what structural, data, and control hazards arise when multiple instructions share hardware resources.
This article provides a comprehensive overview of GPU stream multiprocessors, detailing their micro‑architecture, instruction fetch‑decode‑execute pipeline, SIMT/ SIMD organization, warp scheduling, scoreboard mechanisms, and techniques for handling thread divergence and deadlock in GPGPU designs.
This article explains how a CPU executes programs through the fetch‑decode‑execute cycle, describes instruction sets, registers, pipelines, superscalar and multithreaded designs, and details the hierarchy of caches from registers up to L3, providing a comprehensive overview of modern processor fundamentals.
