Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, cilt.15, sa.3, ss.699-714, 2022 (Hakemli Dergi)
The design of RISC processors, which are the key of digital signal processing applications, are increasing in
reconfigurable hardware. FPGAs are suitable reconfigurable hardware for RISC processor design, with
advantages such as parallel processing and low power consumption. In this study, the design of the 32-bit RISC
processor in a FPGA is presented. The designed RISC processor contains IEEE754 standard floating-point
number processing unit, which is executed in one clock cycle. The verification of the processor is performed
for the Zynq-7000 SoC Artix-7 FPGA chip in the Xilinx Vivado tool. Classification of an artificial neural
network using the iris dataset is carried out in this designed RISC processor. In order to compare the
performance, the same artificial neural network is executed in real time in the dual-core ARM Cortex-A9
processor in the operating system of the Zynq-7000 SoC. The results show that the RISC processor designed in
the FPGA executes at 20x less clock cycles and 3x higher speed compared to the ARM processor.