Core for Large Datasets : Rough Sets on FPGA

This paper presents FPGA and softcore CPU based device for large datasets core calculation using rough set methods. Presented architectures have been tested on two real datasets by downloading and running presented solutions inside FPGA. Tested datasets had 1 000 to 10 000 000 objects. The same operations were performed in software implementation. Obtained results show the big acceleration in computation time using hardware supporting core generation in comparison to pure software implementation.

---

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).