This document is a guide for compiler and linker options that contribute to delivering reliable and secure code using native (or cross) toolchains for C and C++. The objective of compiler options ...

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 ...

As semiconductor technology pushes the boundaries of scale and complexity, traditional VLSI physical design methodologies are struggling to keep pace. The rise of Artificial Intelligence (AI), ...

Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert ...

Programming is both an enjoyable and a difficult task. A seemingly small slip can introduce a serious error or create a security vulnerability. The need for, and ...

Quantities calculated from molecular simulations are often subject to an initial bias due to unrepresentative starting configurations. Initial data are usually discarded to reduce bias. Chodera’s ...

Abstract: Quantum simulation is the foundation for the design of many algorithms which share subroutines known as quantum simulation kernels. Optimizing the compilation of these kernels is crucial, ...

Abstract: To address these concerns, this paper proposes a novel low power management and optimization scheme for low power VLSI design based on both dynamic and static power sources. The proposed ...

As quantum hardware continues to improve, more and more application scientists have entered the field of quantum computing. However, even with the rapid improvements in the last few years, quantum ...

Welcome to the era of EDA 4.0, where we are witnessing a revolutionary transformation in electronic design automation driven by the power of artificial intelligence. The history of EDA can be ...