Uncovering the Memory Hierarchy of Modern NVIDIA GPUs for Accurate Simulation

Emerging artificial intelligence workloads, particularly Large Language Models (LLMs), place unprecedented demands on GPU memory systems. Consequently, architectural innovations increasingly target the memory system to alleviate these bottlenecks. However, existing works still rely on outdated memory hierarchy models that fail to capture the complexities of modern hardware. This fidelity gap leads to inaccurate characterization and could misguide optimization strategies. To bridge this gap, we …

Source: arXiv cs.AR (Hardware Architecture), published 2026-11-11. The summary is the Hub's own; the full story is at the source. Report a rights or accuracy concern