Towards an Efficient Hardware Architecture for Odd-Even Based Merge Sorter
Elsayed A. Elsayed, Kenji Kise · 2019
Sorting is widely used in several practical applications such as searching and database. This paper proposes two improved FPGA-based architectures for merge sorter that use less hardware resources compared to the state-of-the-art. For instance, with 64 sorted records are output per cycle, implementation results of our first proposal show an improvement in the required number of Flip Flops (FFs) and Look-Up Tables (LUTs) by 84.4% and 77.7%, respectively over the state-of-the-art. In addition, the throughput of our merge sorter is 1.065x higher than that of state-of-the-art. As for the second proposal, a significant improvement is achieved by 66.3% and 84.6% for the needed FFs and LUTs, respectively. Moreover, while our second proposed merge sorter uses significant less resources, it achieves about 95.9% of the performance of state-of-the-art merge sorter.