Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …

In the last decades, field-programmable gate arrays (FPGAs) have become increasingly
important to the electronics industry, offering higher performance and lower power …

Hardware synthesis requires a complicated process to generate synthesizable register
transfer level (RTL) code. High-level synthesis tools can automatically transform a high-level …

Logic synthesis is a crucial step in electronic design automation tools. The rapid
developments of reinforcement learning (RL) have enabled the automated exploration of …

Deep neural networks (DNNs) have substantial computational and memory requirements,
and the compilation of its computational graphs has a great impact on the performance of …

Scheduling on dataflow graphs (also known as computation graphs) is an NP-hard problem.
The traditional exact methods are limited by runtime complexity, while reinforcement …

Deep neural networks (DNNs) represent the state-of-the-art in many applications but have
substantial computational and memory requirements, which greatly limit their training and …

With the exponential growth of Very Large-Scale Integration (VLSI) scale and complexity,
traditional algorithms of Electronic Design Automation (EDA) are gradually encountering …

Advanced and emerging computer systems, ranging from supercomputers to embedded
systems, feature high performance, energy efficiency, acceleration, and specialization …

Modern computational platforms are becoming increasingly complex to meet the stringent
constraints on performance and power. With the larger design spaces and new design trade …