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Internet of things (IoT) is an emerging field in the area of research, and the emergence of the internet of things has developed an explosion in the area of sensor computing platforms. A wide range of applications has been developed using this sensor platform by using IoT devices ranging from simple devices to complex machines like the implementation of artificial intelligence in various devices. Developers are working on more complex devices that can generate more performance, but at the same time, they are targeting low-cost machine systems like CPU, and sometimes this low cost might generate low performance. To overcome these low-performance issues, one should properly differentiate the features so that it can select the proper platform might be a CPU system or it can be a custom platform with hardware accelerators that includes GPUs and FPGAs. These custom platforms are costlier than the CPU systems but will generate better performance than the CPU systems. This paper shows how FPGA can optimize the performance of the internet of things.

Optimizing the Performance of IoT Using FPGA as Compared to GPU