Published on Sep 16, 2019
This paper presents the design exploration and applications of a spurious-power suppression technique (SPST) which can dramatically reduce the power dissipation of combinational VLSI designs for multimedia/DSP purposes.
The proposed SPST separates the target designs into two parts, i.e., the most significant part and least significant part (MSP and LSP), and turns off the MSP when it does not affect the computation results to save power. Furthermore, this paper proposes an original glitch-diminishing technique to filter out useless switching power by asserting the data signals after the data transient period.
There are different entities that one would like to optimize when designing a VLSI circuit. These entities can often not be optimized simultaneously, only improve one entity at the expense of one or more others The design of an efficient integrated circuit in terms of power, area, and speed simultaneously, has become a very challenging problem.
Power dissipation is recognized as a critical parameter in modern the objective of a good multiplier is to provide a physically compact, good speed and low power consuming chip.
To save significant power consumption of a VLSI design, it is a good direction to reduce its dynamic power that is the major part of total power dissipation. In this paper, we propose a high speed low-power multiplier adopting the new SPST implementing approach. This multiplier is designed by equipping the Spurious Power Suppression Technique (SPST) on a modified Booth encoder which is controlled by a detection unit using an AND gate.
The modified booth encoder will reduce the number of partial products generated by a factor of 2. The SPST adder will avoid the unwanted addition and thus minimize the switching power dissipation.
In this project we used Modelsim for logical verification, and further synthesizing it on Xilinx-ISE tool using target technology and performing placing & routing operation for system verification on targeted FPGA
Finite impulse response filters,
Fast Fourier transforms,
Discrete cosine transforms,
Convolution, and other important DSP and multimedia kernels
Synthesis: Xilinx 9.1