A biological organism’s ability to sense and adapt to its environment is essential to its survival. Likewise, environmentally aware computing systems avail themselves to a longer operational life and a wider range of applications than traditional systems. In this paper, we propose a novel circuit design methodology that allows parameterizable hardware to self-regulate its temperature. We apply this methodology to an image recognition system on an Xilinx Virtex 4 FX100 field programmable gate array (FPGA). The image recognition system sustains a safe operational temperature by automatically adjusting its frequency and output quality. The circuit sacrifices output performance and quality to lower its internal temperature as the ambient temperature increases, and can leverage cooler temperatures by increasing output performance and quality. Furthermore, the circuit will shutdown if the ambient temperature becomes too hot for the device to function properly. A performance evaluation o...
Phillip H. Jones, James Moscola, Young H. Cho, Joh