28nm FPGA HSTL IO Standard Green RS Flip Flop Design for AI Based Processor

LVCMOS Based Design OF Energy Efficient RAM On FPGA

“…Like all the other various factors , RAM energy dissipation is very much dependent on the optimum conditions in which RAM is at its best, [5] the various frequency and the characteristic of RAM on that frequency is studied , the 40nm FPGA based RAM is used to minimise the power usage .Because of the flexibility and reusability provided by the FPGA, it could also be programmed in a way to be used in data analytics or machine learning. The FPGA [6] used here is devoted for Artificial Intelligence to accelerate workload, which is done using flip flops for an AI based RAM or processor, also in the same work HSTL_I_12 and HSTL_II_18 with different voltage has been used to reduce total power consumption . The power consumption could not only be reduced by some values but in this [7] able to outperform DSPs and are dissipating lesser energy .In this [10] work, FPGA is used in a way to create energy efficient designs for signal processing kernel applications, such that there is an improvement of factor 10 over an embedded processor .…”