This research work presents a novel approach to design efficient power-of-two multipliers on modern field-programmable gate arrays (FPGA) devices. Several ways of exploiting fixed-point power-of-two multiplications have been recently demonstrated to reduce the computational complexity of several computationally intensive applications, such as computer vision, deep learning, and many others. Modern FPGA devices provide speed-optimised intellectual property (IP) cores based on embedded modules, such as digital signal processing blocks, and area-optimised IP cores based on reconfigurable logic resources, such as look-up tables and flip-flops. Unfortunately, due either to their limited available amount or to their limited running frequency, these IP cores do not allow the overall computational capability offered by an FPGA device to be completely exploited. While the speed-optimised version of the multiplier proposed here is fast enough to increase the number of operations performed per second by up to 4.3 times, with respect to the conventional designs, its area-optimised implementation reduces resources requirements and energy consumption by up to 22 and 40%.
Software Implementation:
Modelsim
Xilinx
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Parallel architecture of power-of-two
multipliers for FPGAs
