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Three dimensional IC (3DIC) is becoming practical in today's consumer electronics designs. However, one major problem remains in design synthesis and flow: how to model heterogeneous die(s) with major logic die for power synthesis and signoff. This work provides a realistic model and principle for heterogeneous dies power network for 3DICs. It is based on given abstract or early stage information...
Miniaturized neural sensing microsystem has become increasingly important for brain function investigation. This paper presented a low voltage area-power-efficient 11-bit hybrid analog-to-digital convertor (ADC) with self-calibration for neural sensing application. To reduce the total amount of capacitance, the proposed hybrid ADC is composed of 3 bit coarse-tune and 8 bit fine-tune with delay-lined...
In this paper, we investigate energy-efficient hybrid precoding which consists of baseband precoding and radio frequency (RF) precoding for Millimeter Wave (mmWave) systems over multi-input multi-output (MIMO) interference channels. The considered optimization problem is intractable because both the object function and the constraint are non-convex. Instead of solving the multivariate optimization...
Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel/25 mm2 neural sensing microsystem is presented based on through-silicon-via (TSV) 2.5D integration. This microsystem composes of dissolvable μ-needles, TSV-embedded μ-probes, 256-channel neural amplifiers, 11-bit area-power-efficient SAR ADCs and serializers...
The problem is to obtain the optimal number of base stations (BSs) and their locations on minimized power consumption with requirements of coverage rate and cell load. In this paper, we propose a mathematical model of evaluation index for cell planning and identify the optimization problem. The system model characterizes the total power consumption of planning area, taking into account the radio power,...
We consider the problem of maximizing the weighted sum energy efficiency (WS-EE) in ad hoc networks. To solve this problem in a distributed manner, one novel distributed adaptive-pricing algorithm is developed based on limited information exchange among the nodes. Specifically, each node updates its current interference information and broadcasts it to the other nodes. Having collected all this information,...
An architecture of SAR ADC called the delta-modulated SAR ADC (DMSAR ADC) is proposed and designed for medical device applications. In the proposed DMSAR ADC, only the voltage difference between two successive samples is resolved to reduce the conversion steps and decrease the power consumption per channel up to 66%. The experimental chip is implemented in 0.18μm CMOS technology. At the digital supply...
In this paper, an optimization methodology using agglomerative-based clustering for number of flip-flop reduction and signal wirelength minimization is proposed. Comparing to previous works on flip-flop reduction, our method can obtain an optimal tradeoff curve between flip-flop number reduction and increase in signal wirelength. Our proposed methodology outperforms [1] and [12] in both reducing number...
Low power demand drives the development of lower power design architectures, among which multiple supply voltage is one of the state-of-the-art techniques to achieve low power. In addition, dynamic voltage frequency scaling and adaptive voltage scaling are popular power saving techniques during chip operation to provide different modes for various performance requirements. It is therefore very challenging...
Optimizing the performance of a multi-core microprocessor within a power budget has recently received a lot of attention. However, most existing solutions are centralized and cannot scale well with the rapidly increasing level of core integration. While a few recent studies propose power control algorithms for many-core architectures, those solutions assume that the workload of every core is independent...
This paper proposes a two-dimensional scan shift control concept for multiple scan chain design. Multiple scan chain test scheme provides very low scan power by skipping many long scan chain switching activities. Based on two-dimensional scan shift control, we can achieve low test power with simple and small overhead structure. The proposed scheme skips many unnecessary don't care (X) patterns to...
In today's data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to increasingly high server density. While various power control strategies have been recently proposed, existing solutions are not scalable to control the power consumption of an entire large-scale data center, because these solutions...
We propose a simple search algorithm to reduce the computational complexity and power consumption for equal gain precoder. Simulation results show that the equal gain precoder with the proposed search algorithm can achieve nearly the same performance as that of the Grassmannian precoder. The proposed search algorithm shows several advantages in practical implementation as will be explained later in...
This work proposes a complexity-control algorithm that efficiently utilizes encoding tools of an H.264 video coding system under different power status. Experiments performed on a power-scalable embedded system reveal the excellent rate-distortion performance with various power constraints. Specifically, the power consumption can be adjusted around 77% to 100% with PSNR degradation within 1.08 dB...
Power control is becoming a key challenge for effectively operating a modern data center. In addition to reducing operation costs, precisely controlling power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to increasing high-density. Control-theoretic techniques have recently shown a lot of promise on power management thanks to their better...
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