High-level synthesis (HLS) tools have gained great attention in recent years because it
emancipates engineers from the complicated and heavy hardware description language …

With continued scaling, the transistor aging induced by hot carrier injection (HCI) and bias
temperature instability (BTI) causes an increasing failure of nanometer-scale integrated …

Adders are the primary components in the data-path logic of a microprocessor, and thus,
adder design has been always a critical issue in the very large-scale integration (VLSI) …

Compared with traditional convolutions, grouped convolutional neural networks are
promising for both model performance and network parameters. However, existing models …

With continued scaling, the susceptibility of nanometer CMOS to reliability issues has
increased significantly in analog/mixed-signal (AMS) circuits. The industrial large-scale AMS …

Sensor drift is an intractable obstacle to practical temperature measurement in smart
building. In this article, we propose a sensor spatial correlation model. Given prior …

The recent development of Internet-of-Things (IoT) technologies has enabled smaller and
lower-cost sensor nodes, motivating the deployment of more flexible and scalable sensor …

In order to support the self-awareness, self-configuration, self-description, and self-
optimization autonomic properties, autonomic systems need to be able to detect concept drift …

The past few years witnessed the significant success of deep learning (DL) algorithms and
the increasing deployment efficiency and performance requirements. Features and weights …

As the technology node of integrated circuits rapidly scales down to 7nm and beyond, the
electronic design automation (EDA) in very large-scale integration (VLSI), which has been …