In recent years, many accelerators have been proposed to efficiently process sparse tensor
algebra applications (eg, sparse neural networks). However, these proposals are single …

Modern power grid is fast emerging as a complex cyber-physical power system (CPPS)
integrating physical current-carrying components and processes with cyber-embedded …

This book provides broad and comprehensive coverage of the entire EDA flow. EDA/VLSI
practitioners and researchers in need of fluency in an" adjacent" field will find this an …

The existing work on via allocation in 3D ICs ignores power/ground vias' ability to
simultaneously reduce voltage bounce and remove heat. This article develops the first in …

Relentless semiconductor scaling and ever increasing device integration have resulted in
the exponentially growing size of the back-end design, which makes back-end simulation …

Modern submicron very large scale integration designs include huge power grids that are
required to distribute large amounts of current, at increasingly lower voltages. The resulting …

In this paper, we propose preconditioned Krylov-subspace iterative methods to perform
efficient DC and transient simulations for large-scale linear circuits with an emphasis on …

This paper analyzes the impact of power-supply noise on the performance of high-frequency
microprocessors. First, delay models that take this noise into account are proposed for …

This paper presents a class of power grid analyzers based on a random-walk technique. A
generic algorithm is first demonstrated for dc analysis, with linear runtime and the desirable …

Model order reduction (MOR) techniques reduce the complexity of VLSI designs, paving the
way to higher operating speeds and smaller feature sizes. This book presents a systematic …