Iouliia Skliarova

TL;DR: This paper proposes a Field-Programmable Gate Array (FPGA)-based hardware accelerator for assisting the embedded MicroBlaze soft-core processor in calculating population count and demonstrates that the best hardware accelerator with DMA (Direct Memory Access) is ~31 times faster than the best software version running on Micro Blaze.

TL;DR: The main contribution is the development of a parameterizable VHDL package and the respective error-correcting modules, which can easily be added to an FSM specification using any state assignment strategy and having any number of inputs, outputs and states.

TL;DR: It is shown that the considered technique of recursive data sorting allows the known optimization methods for conventional state machines to be applied directly.

TL;DR: The paper analyzes and evaluates architectures of the most efficient hardware accelerators for data sort in FPGA and all programmable systems-on-chip (such as devices from the Xilinx Z ...

TL;DR: Experiments with the proposed FPGA-based hardware accelerators demonstrate that the performance of sorting operations is increased compared to known implementations of recursive sorting algorithms.