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Representation-Independent Resubstitution for Area-Oriented Logic Optimization
DescriptionLogic synthesis is a design phase that relies on heuristic algorithms to optimize graph representations of digital circuits. The choice of a graph representation depends on target technology, design properties, and desired optimization metrics. While logic synthesis heuristics follow general principles, their realization often entails high engineering costs due to tight dependencies on specific circuit representations. This paper proposes a representation-independent algorithm for area-oriented optimization to transcend representation-specific tweaks and enhance adaptability across diverse technologies and designs. The experimental results show that our method can achieve additional average improvements of up to 9.74% compared to state-of-the-art representation-dependent engines.
Event Type
Work-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
Topics
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security