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The increasing complexity and diversity of computing workloads are driving System-On-Chip (SoC) architectures towards modular designs to meet growing performance demands. These modular SoCs incorporate specialized optimizations such as split cache structures to enable higher core density. However, to fully leverage these hardware-level advancements, corresponding optimizations are required in the software layer. Kubernetes must adapt to capture these hardware optimizations effectively. We introduce a new Kubernetes feature, “prefer-align-cpus-by-uncorecache”, designed to automatically align workloads with the Last-Level-Cache in modular SoCs. This enhancement improves workload performance by reducing latency and optimizing resource utilization, bridging the gap between advance hardware capabilities and orchestration efficiency. This session will elaborate on how the feature assigns CPU resources and the potential performance improvements it can deliver to users.
