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Cooperative game-theoretic runtime prediction and contention-aware partitioning for heterogeneous embedded systems
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DOI：10.1016/j.sysarc.2026.103891.png)
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Abstract
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• Game-theoretic framework predicts runtime for heterogeneous systems. • Queueing models capture stochastic contention and physical constraints. • Shapley values quantify interaction penalties and marginal contributions. • Partitioning strategy uses analytical insights to optimize efficiency. • Method yields 5.69% error and 34.7% efficiency gain on multi-chiplet platform.
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