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System-level partitioning with uncertainty

1999

Abstract
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AI

The paper presents a method for system-level partitioning in the face of uncertainties, focusing on approaches that enhance the robustness of system designs. It discusses the challenges posed by uncertainties in various parameters during the partitioning process and suggests strategies to mitigate these impacts. The proposed methods aim to improve the reliability and performance of complex systems by allowing for adaptive partitioning decisions based on uncertain data.