FPGA Acceleration for Computational Glass-Free Displays

The increasing computational power enables various new applications that are runtime prohibitive before. FPGA is one of such computational power with both reconfigurability and energy efficiency. In this paper, we demonstrate the feasibility of eyeglasses-free displays through FPGA acceleration. Specifically, we propose several techniques to accelerate the sparse matrix-vector multiplication and the L-BFGS iterative optimization algorithm with the consideration of the characteristics of FPGAs. The experimental results show that we reach a $12.78X$ overall speedup of the glass-free display application.