Low-power computation using FPAA for wearable devices

Low-power computation;FPAA;Wearable devices

Shah, Sahil Sandeep ; Hasler, Jennifer Electrical and Computer Engineering Inan, Omer Sarioglu, Fatih Khan, Asif I. Minch, Bradley ; Hasler, Jennifer

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Low-power computation;    FPAA;    Wearable devices;   

Others  :  https://smartech.gatech.edu/bitstream/1853/59918/1/SHAH-DISSERTATION-2018.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This work investigates low-power mixed-signal computation techniques for real-time applications. The need for real-time processing, with rise of wearable devices, creates a strong drive for researching and developing methods and system architectures which reduces the power consumption. By performing the computation locally near the sensor node one can increase the energy efficiency of such devices byreducing the need for communication to the cloud. Analog computation has shown promising results in this space by significantly reducing power consumption by processing signals in analog without having to convert them into the digital domain. Further, by adding programmability and configurability to analog, the effects of process, voltage, and temperature variations could be reduced significantly.