AI RESEARCH
Differentiable Initialization-Accelerated CPU-GPU Hybrid Combinatorial Scheduling
arXiv CS.AI
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ArXi:2603.28943v1 Announce Type: cross This paper presents a hybrid CPU-GPU framework for solving combinatorial scheduling problems formulated as Integer Linear Programming (ILP). While scheduling underpins many optimization tasks in computing systems, solving these problems optimally at scale remains a long-standing challenge due to their NP-hard nature. We