Abstract: Deploying Large Language Models (LLMs) on resource-constrained edge devices is critically challenged by the "memory wall" bottleneck, where energy-intensive data movement between processors ...
Abstract: Cluster workload allocation often requires complex configurations, creating a usability gap. This paper introduces a semantic, intent-driven scheduling paradigm for cluster systems using ...
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