Optimized Dual Accumulator based RISC Architecture with Advanced Memory and Peripheral Operations

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Optimized Dual Accumulator based RISC Architecture with Advanced Memory and Peripheral Operations | This paper presents an optimized Reduced Instruction Set Computer (RISC) architecture that leverages a dual accumulator design to enhance computational efficiency and performance. The architecture is scheduled to support advanced memory management and peripheral operations, addressing the growing need for high-speed data processing in embedded systems. The dual accumulator approach allows for parallel execution of arithmetic operations, reducing the number of instruction cycles and improving overall throughput. The architecture is designed with a focus on optimizing area, delay, and power consumption, making it suitable for resource-constrained environments. The proposed design is implemented using Verilog HDL and synthesized on the Xilinx Vivado platform targeting the Zynq FPGA. The architecture’s performance is verified through extensive simulation in Modelsim, and a comparative analysis is conducted to evaluate the improvements in key parameters such as area utilization, processing delay, and power efficiency. The results demonstrate that the optimized dual accumulator-based RISC architecture significantly outperforms traditional single accumulator designs, making it an ideal solution for modern embedded applications that require both high performance and low power consumption.