Cycle-Level Simulator for Distributed GPUs For AI Workloads (Purdue)

<p>Researchers from Purdue University published a technical paper titled “Architecting the Next Generation of Asynchronous, Distributed GPUs for the AI Era.” Abstract Excerpt: The paper presents a “cycle-level simulation framework” for modern GPU generations including Ampere, Hopper, and Blackwell. It also reports validation against physical silicon, including a “99% Pearson correlation coefficient” on H100 GPU... <a class="read_more" href="https://semiengineering.com/cycle-level-simulator-for-distributed-gpus-for-ai-workloads-purdue/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/cycle-level-simulator-for-distributed-gpus-for-ai-workloads-purdue/">Cycle-Level Simulator for Distributed GPUs For AI Workloads (Purdue)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>