Optimal Selection of SRAM Bit-Cell Size for Power Reduction in Video Compression

Abstract

In mobile multimedia devices with video compression capability, a large amount of power consumption is incurred by storing video data in static random-access memories (SRAMs). The power consumption by SRAM access is reduced by decreasing the supply voltage but the decreased supply voltage may cause data loss stored in the SRAM. To reduce the probability of data loss, previous research attempts to increase the SRAM cell size, which incurs a large area overhead. To minimize the area penalty by increasing the SRAM cell size, this paper proposes a novel method to adaptively select the cell sizes of SRAMs according to their sensitivities to the quality degradation in video compression while maintaining the total SRAM area. In order to decide the optimal size for embedded SRAMs, optimization based on Lagrange multipliers and Karush–Kuhn–Tucker conditions is proposed. The proposed optimization significantly reduces the number of simulations necessary to determine the optimal combination of SRAM bit-cell sizes. By applying the proposed heterogeneous SRAM cell sizing scheme along with the proposed optimization scheme, the best Bjontegaard delta peak signal-to-noise ratio (BDPSNR) improvement is achieved. Simulation results show that the proposed approach remarkably improves the video quality by up to 3.72 dB in BDPSNR compared with the conventional SRAM with an identical cell size. These results imply that the proposed heterogeneous SRAM allows a reduction of the supply voltage while maintaining the video quality.