2PSA: An Optimized and Flexible Power-Precision Scalable Adder

  • Roger Porto UFPel/IFSul
  • Bruno Zatt UFPel
  • Nuno Roma IST/ULisboa
  • Luciano Agostini UFPel
  • Marcelo Porto UFPel

Resumo


Adders are the core of all arithmetic circuits and the proposition of efficient adders, in distinct perspectives, are a constant in the last decades, with a myriad of solutions focusing on a wide variety of applications. The emergence of approximate computing encouraged the development of a new generation of dedicated imprecise adders intending to reduce delay, area, power and/or energy, but none of the proposed solutions is able to support run time definition of distinct power-precision operation points. This article presents the Power-Precision Scalable Adder (2PSA) which is a dynamically configurable power-precision imprecise adder, where the number of power-precision operation points can be configured at design time and each supported power-precision operation point can be changed in run time. The obtained experimental results showed that 2PSA is a fully flexible and efficient imprecise adder, supporting a high variety of power-SNR pairs, as well as a wide range of applications. Considering 8-bit adders, the power-SNR pairs vary from 2%-55dB to 60%-13.75dB, where eight operation points are allowed. Considering 64-bit adders, the power-SNR pairs ranges from 2%-325dB to 60%-16.65dB and 64 operation points are allowed. 2PSA also reached expressive power (from 18% to 73%) and area (from 54% to 73%) savings when compared with non-optimized solutions supporting the same operation points.
Palavras-chave: Adders, Approximate computing, Delays, Gears, Signal to noise ratio, Batteries, Scalability, arithmetic operators, approximate computing, imprecise adders, low-power design, power efficiency
Publicado
24/08/2020
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PORTO, Roger; ZATT, Bruno; ROMA, Nuno; AGOSTINI, Luciano; PORTO, Marcelo. 2PSA: An Optimized and Flexible Power-Precision Scalable Adder. In: SYMPOSIUM ON INTEGRATED CIRCUITS AND SYSTEMS DESIGN (SBCCI), 33. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 55-60.