This invention describes a way to efficiently assign tasks or items (like computing jobs) to available resources (like processors). It works by first creating a kind of virtual map where the tasks are arranged based on their connections, like particles in a physics simulation. This arrangement then guides a search on a different map representing the resources, allowing the tasks to find and claim their optimal spots among the resources. The claims specifically narrow this to assigning computing jobs to processing units.
Why it matters: Filed before widespread adoption of advanced graph processing frameworks and the explosion of large-scale distributed AI workloads. The method's graph-based approach to efficient resource allocation is now more critical and feasible to implement at scale.
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