Designing an Efficient Hardware Accelerator for Data Sorting Integrated With a Risc-V

Abstract

In microprocessor architecture, amid a few blocks outcome of the optimized sorting algorithm has proved its impact on the results. Sorters can be implemented in domains that includes data centers, cloud computing servers for IoT applications. Sorters can be implemented on hardware, by deploying the developed sorter on Field Programmable Gate Array (FPGA). By contrasting factors like power consumption, implementation time, and implementation space with those of the proposed algorithm, it is possible to show the shortcomings of existing sorters like Bubble sort, Bitonic sort, and Odd-Even sort. This approves that the sorter with higher capability will perform better for sorting involving large numbers, this helps in designing of large-scale sorting for aforementioned applications. Few sorters were compared based on the parameters and it was concluded that comparison-free odd-even was having upper hand. Hence, the optimized sorter was implemented on the MicroBlaze, which is based on RISC-V architecture.