ARM vs FPGA: Comparative Analysis of Sorting Algorithms
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-99619-2_27
Reference21 articles.
1. Kristo, A., Vaidya, K., Çetintemel, U.: The case for a learned sorting algorithm. In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 1001–1016 (2020)
2. Usmani, A.R.: A novel time and space complexity efficient variant of counting-sort algorithm. In: 2019 IEEE International Conference on Innovative Computing (ICIC), pp. 1–6 (2019)
3. Liu, B.: A data sorting hardware accelerator on FPGA. Ph.D. thesis, Kth Royal Institute of Technology (2020)
4. Zurek, D., Pietro’n, M., Wielgosz, M., Wiatr, K.: The comparison of parallel sorting algorithms implemented on different hardware platforms. Comput. Sci. 14, 679–691 (2013)
5. Danelutto, M., De Matteis, T., Mencagli, G., Torquati, M.: A divide-and-conquer parallel pattern implementation for multicores. In: Proceedings of the 3rd International Workshop on Software Engineering for Parallel Systems, pp. 10–19 (2016)
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