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RoBA Multiplier: A Rounding-Based Approximate Multiplier for High-Speed yet Energy-Efficient Digital Signal Processing

EasyChair Preprint 4801

6 pagesDate: December 25, 2020

Abstract

In this paper, we propose an approximate multiplier that is high speed yet energy efficient. Now-a-days, Energy minimization is one of the main design requirements especially in the portable gadgets i.e., smart phones, tablets and so on. In these types of gadgets, DSP blocks are key components, where the computational core of these blocks is the arithmetic logic unit where multiplications have a greatest share. So, by the use of the multipliers the computational part of multiplications is omitted by improving the speed and power/efficiency characteristics of multipliers as it plays a key role.
In this, the approach is to round the operands to nearest exponent of two. By this approximations are made for improving the speed and efficiency. Since the final outputs are used in two Image processing applications, i.e., image sharpening and smoothing. This can be performed at different design abstraction levels i.e., circuit, logic and architecture levels using different techniques, here we use function approximation method (e.g., modifying the Boolean function of a circuit), a number of approximating arithmetic building blocks, such as adders, multipliers have been suggested.
Finally, It has added advantage that it can be used as common multiplier design for both signed and un-signed operations and reduces logic size and facilitates with less power and delay. Here we are using Verilog HDL and Xilinx ISE14.8 software tools for simulation and synthesis purpose.

Keyphrases: Accuracy, Approximate Computing, Energy Efficient, Multiplier, error analysis, high speed

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:4801,
  author    = {Manchiryala Manogna},
  title     = {RoBA Multiplier: A Rounding-Based Approximate Multiplier for High-Speed yet Energy-Efficient Digital Signal Processing},
  howpublished = {EasyChair Preprint 4801},
  year      = {EasyChair, 2020}}
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