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- W2624783959 abstract "The ever-increasing design complexity is driving the need of fast and accurate macro-modeling algorithms to accelerate the hierarchical timing. We introduce LibAbs, an effective macro-modeling algorithm that efficiently supports high accuracy, high compression rate, and multi-threading. LibAbs applies tree-based graph reduction techniques to reduce the model size with comparable accuracy values to the flat model under multi-threaded environment. LibAbs outperforms existing tools including top winners from TAU 2016 macro-modeling contest in terms of model size, accuracy, and runtime on industry benchmarks. The in-context usage of our abstracted model has also demonstrated promising performance for timing-driven optimizations in large hierarchical designs." @default.
- W2624783959 created "2017-06-23" @default.
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- W2624783959 date "2017-06-18" @default.
- W2624783959 modified "2023-09-30" @default.
- W2624783959 title "LibAbs" @default.
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- W2624783959 doi "https://doi.org/10.1145/3061639.3062274" @default.
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