A simulation-based study on one AMD Ryzen AI system finds that scheduling policies strongly affect deadline violation rates, time-to-first-token, and tokens-per-second for real-time generative AI workloads, with an LLM-aware policy balancing trade-offs.
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Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems
A simulation-based study on one AMD Ryzen AI system finds that scheduling policies strongly affect deadline violation rates, time-to-first-token, and tokens-per-second for real-time generative AI workloads, with an LLM-aware policy balancing trade-offs.