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To achieve energy efficiency in the Internet-of-Things (IoT), more intelligence is required in the wireless IoT nodes. Otherwise, the energy required by the wireless communication of raw sensor data will prohibit battery lifetime, the backbone of IoT. One option to achive this intelligence is to implement a variety of machine learning algorithms on the IoT sensor instead of the cloud. Shown here is...
The Von Neumann bottleneck originates from the low bandwidth between processing and memory. One paradigm that could ease the bottleneck is Computing-in-Memory (CiM), where the same elements store logic values and perform logical operations on them in the same physical location. Here, presented are implementations of the K-means clustering algorithm on a Memristive Logic Array-based CiM implementation...
To minimize energy consumption of a digital circuit, logic can be operated at sub- or near-threshold voltage. Operation at this region is challenging due to device and environment variations, and resulting performance may not be adequate to all applications. This paper presents an ASIC implementation of a 32-bit RISC CPU in 28nm CMOS with wide range of adjustable voltage/frequency from 250mV/85kHz...
The increased performance from technology scaling makes it feasible to operate digital circuits at ultra-low voltages without the significant performance limitation of earlier process generations. The theoretical minimum energy point resides in near-threshold voltages in current processes, but device and environment variations make it a challenge to operate the circuits reliably. This paper presents...
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