Energy Efficient Edge Computing for Smart Applications in the Post-Moore Era

Smart applications such as robot and advanced driver assistance have significantly made our life easier and better. For the sake of various constraints such as real time, many of these applications involve computing inmobile edge devices. These devices are usually powered by batteries that require energy efficient computingto enable longer interval between the charging of batteries. On the other hand, new semiconductortechnology (such as non-volatile memories, cryogenic microelectronics) and new computing paradigm (suchas in-memory computing and neural network computing) have been actively researched to support energyefficient computing.Under this background, this talk introduces its related on-going research works. In terms of applications, wehave focused on the area of robot and smart vehicles. In terms of circuit/semiconductor technologies, wehave focused on RRAM, cryogenic CMOS, near/sub-threshold low voltage circuit designs. In terms ofcomputing paradigm, we have focused on SRAM-based in-memory computing and FPGA acceleration ofneural networks. We have also built an FPGA research platform and a smart vehicle research platform. Theyenable us to interact these above topicsand perform interdisciplinary research and prototyping.