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As one of the most promising future fundamental devices, memristor has its unique advantage on implementing low-power high-speed matrix multiplication. Taking advantage of the high performance on basic matrix operation and flexibilitys of memristor crossbars, in this paper, we investigate both discrete Fourier transformation (DFT) and miltiple-input and multi-output (MIMO) detection unit in baseband...
Conventional internal combustion engine vehicles (ICEV) generally have less than a 30% of fuel efficiency, and the most wasted energy is dissipated in the form of heat energy. The heat energy maintains the engine temperature for efficient combustion as a good aspect, but the amount of heat generation is excessive and eventually breaks the engine components unless advanced cooling system technologies...
Editor’s note: One promising application of emerging memories is to implement a nonvolatile memory hierarchy that can retain the data when power is removed. In this work, the authors present some design techniques of nonvolatile processors with a multisource energy-harvesting system that combines thermal, kinetic, and indoor photovoltaic sources to provide a stable power supply. —Yiran Chen, Duke...
Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecedented progress, achieving the accuracy close to, or even better than human-level perception in various tasks. There is a timely need to map the latest software DCNNs to application-specific hardware, in order to achieve orders of magnitude improvement in performance, energy efficiency and compactness. Stochastic Computing (SC),...
In recent years, Deep Convolutional Neural Network (DCNN) has become the dominant approach for almost all recognition and detection tasks and outperformed humans on certain tasks. Nevertheless, the high power consumptions and complex topologies have hindered the widespread deployment of DCNNs, particularly in wearable devices and embedded systems with limited area and power budget. This paper presents...
Electric vehicles (EVs) and hybrid electric vehicles (HEVs) are growing in popularity. Onboard photovoltaic (PV) systems have been proposed to overcome the limited all-electric driving range of EVs/HEVs. However, there exist obstacles to the wide adoption of onboard PV systems such as low efficiency, high cost, and low compatibility. To tackle these limitations, we propose to adopt the semiconductor...
Along with growing public concerns over the energy crisis, hybrid and plug-in electric vehicles (HPEVs) are becoming increasingly popular. However, the total carbon footprint cannot be significantly reduced yet due to the relatively high carbon footprint of batteries in HPEVs. On-board PV systems, which mount PV cells on hood, roof, trunk, and door panels of an HPEV, can assist propelling the vehicle...
Energy harvesting is becoming a preferred choice for future wearable embedded systems compared to batteries because of size, longevity, and maintenance convenience. However, harvested energy is intrinsically unstable. In order to overcome this drawback, non-volatile processors (NVPs) have been proposed to bridge intermittent program execution. However, the harvested power is limited even with multiple...
Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processors (NVPs) was proposed to bridge intermittent program execution. However, even with NVPs, frequent power interruption will severely degrade system performance...
Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems than batteries. However, harvested energy is intrinsically unstable. In order to overcome this drawback, non-volatile processors (NVPs) have been proposed to bridge intermittent program execution. However, even with NVPs, frequent power interruptions will severely...
Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processor (NVP) was proposed to bridge intermittent program execution. However, even with NVP, frequent power interruption will severely degrade system performance...
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