This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...
Abstract: Data-centric applications such as Artificial Intelligence and IoT are putting stringent performance and energy efficiency constraints on hardware implementations of computing architectures.
Abstract: Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in ...
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