A new technical paper titled “CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and Synopsys. “Modern very large-scale ...

Imagine a world where the chips powering your smartphones, computers, and even cars are designed and tested with unparalleled precision and speed. Welcome to the realm of Very Large Scale Integration ...

A complete setup for Qflow, an open-source digital VLSI design flow. This repo provides pre-configured example projects, automated installation scripts, and step-by-step instructions to synthesize, ...

This is my MSc thesis project published in the University of Guelph library. This project applies Graph Neural Networks, to an optimization problem, Circuit Partitioning, leveraging, the predictive ...

Overview As a VLSI Design Engineer, you play a crucial role in the development of complex integrated circuits, ensuring their functionality and performance. You will be responsible for the design, ...

Why Custom Accelerators for AI Workloads? AI workloads, mainly in deep learning, comprise matrix multiplications, convolutions, and data transfers. Because of the special data paths and memory access ...

Abstract: In this work, we propose a novel technique for evolving transistor netlists from truth table descriptions of arbitrary digital circuits. The proposed methods incorporate the effective use of ...