ACM Transactions on Design Automation of Electronic Systems 

About: ACM Transactions on Design Automation of Electronic Systems is an academic journal published by Association for Computing Machinery. The journal publishes majorly in the area(s): Computer science & Routing (electronic design automation). It has an ISSN identifier of 1084-4309. Over the lifetime, 1286 publications have been published receiving 24267 citations. The journal is also known as: Design automation of electronic systems & Transactions on design automation of electronic systems.

Power minimization in IC design: principles and applications

Abstract: Low power has emerged as a principal theme in today's electronics industry. The need for low power has caused a major paradigm shift in which power dissipation is as important as performance and area. This article presents an in-depth survey of CAD methodologies and techniques for designing low power digital CMOS circuits and systems and describes the many issues facing designers at architectural, logical, and physical levels of design abstraction. It reviews some of the techniques and tools that have been proposed to overcome these difficulties and outlines the future challenges that must be met to design low power, high performance systems.

System-level power optimization: techniques and tools

Abstract: This tutorial surveys design methods for energy-efficient system-level design. We consider electronic sytems consisting of a hardware platform and software layers. We consider the three major constituents of hardware that consume energy, namely computation, communication, and storage units, and we review methods of reducing their energy consumption. We also study models for analyzing the energy cost of software, and methods for energy-efficient software design and compilation. This survery is organized around three main phases of a system design: conceptualization and modeling design and implementation, and runtime management. For each phase, we review recent techniques for energy-efficient design of both hardware and software.

Data and memory optimization techniques for embedded systems

Abstract: We present a survey of the state-of-the-art techniques used in performing data and memory-related optimizations in embedded systems. The optimizations are targeted directly or indirectly at the memory subsystem, and impact one or more out of three important cost metrics: area, performance, and power dissipation of the resulting implementation.We first examine architecture-independent optimizations in the form of code transoformations. We next cover a broad spectrum of optimization techniques that address memory architectures at varying levels of granularity, ranging from register files to on-chip memory, data caches, and dynamic memory (DRAM). We end with memory addressing related issues.

A predictive system shutdown method for energy saving of event-driven computation

Abstract: This paper presents a system-level power management technique for energy savings of event-driven application We present a new predictive system-shutdown method to exploit sleep mode operations for energy saving We use an exponential-average approach to predict the upcoming idle period We introduce two mechanisms, prediction-miss correction and prewake-up, to improve the hit ratio and to reduce the delay overhead Experiments on four different event-driven applications show that our proposed method achieves high hit ratios in a wide range of delay overheads, which results in a high degree of energy with low delay penaties

Hardware Trojans: Lessons Learned after One Decade of Research

Abstract: Given the increasing complexity of modern electronics and the cost of fabrication, entities from around the globe have become more heavily involved in all phases of the electronics supply chain. In this environment, hardware Trojans (i.e., malicious modifications or inclusions made by untrusted third parties) pose major security concerns, especially for those integrated circuits (ICs) and systems used in critical applications and cyber infrastructure. While hardware Trojans have been explored significantly in academia over the last decade, there remains room for improvement. In this article, we examine the research on hardware Trojans from the last decade and attempt to capture the lessons learned. A comprehensive adversarial model taxonomy is introduced and used to examine the current state of the art. Then the past countermeasures and publication trends are categorized based on the adversarial model and topic. Through this analysis, we identify what has been covered and the important problems that are underinvestigated. We also identify the most critical lessons for those new to the field and suggest a roadmap for future hardware Trojan research.