Inside NVIDIA’s Stream Multiprocessor: How GPUs Execute Parallel Workloads

This article provides a detailed technical overview of the Stream Multi‑processor (SM) in modern GPUs, explaining its micro‑architecture, instruction fetch‑decode pipeline, warp scheduling, SIMT stack handling, scoreboard mechanisms, and strategies for hiding memory latency to maximize parallel execution efficiency.

GPUSIMTScoreboard

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Inside NVIDIA’s Stream Multiprocessor: How GPUs Execute Parallel Workloads

Architects' Tech Alliance

Mar 29, 2023 · Fundamentals

Stream Multiprocessor (SM) Architecture and Execution Pipeline in GPUs

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.

GPUSIMTScoreboard

0 likes · 16 min read

Stream Multiprocessor (SM) Architecture and Execution Pipeline in GPUs