Approximate arithmetic circuits: A survey, characterization, and recent applications
Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …
efficient design of circuits and systems. For the many approximate arithmetic circuits …
An improved logarithmic multiplier for energy-efficient neural computing
Multiplication is the most resource-hungry operation in neural networks (NNs). Logarithmic
multipliers (LMs) simplify multiplication to shift and addition operations and thus reduce the …
multipliers (LMs) simplify multiplication to shift and addition operations and thus reduce the …
Design exploration of energy-efficient accuracy-configurable dadda multipliers with improved lifetime based on voltage overscaling
H Afzali-Kusha, M Vaeztourshizi… - … Transactions on Very …, 2020 - ieeexplore.ieee.org
This article investigates an energy-efficient accuracy-configurable Dadda (X-Dadda)
multiplier. The structure employs the voltage overscaling and approximate width setting as …
multiplier. The structure employs the voltage overscaling and approximate width setting as …
Small constant mean-error imprecise adder/multiplier for efficient VLSI implementation of MAC-based applications
MHS Javadi, MH Yalame… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to considerable effectiveness of the imprecise computing paradigm in hardware
implementation of many applications, great attention has been recently paid by many …
implementation of many applications, great attention has been recently paid by many …
Approximation-aware design of an image-based control system
Image-based control (IBC) systems are common in many modern applications. In such
systems, image-based sensing imposes massive compute workload, making them …
systems, image-based sensing imposes massive compute workload, making them …
A novel low-power compression scheme for systolic array-based deep learning accelerators
The proliferation of deep learning algorithms has catalyzed their utilization to solve a
multitude of real-world problems. Algorithms such as deep neural networks (DNNs) are …
multitude of real-world problems. Algorithms such as deep neural networks (DNNs) are …
Characterizing approximate adders and multipliers for mitigating aging and temperature degradations
The performance of nanoscale semiconductor technologies has become susceptible to high
temperatures and aging phenomena. While guard-bands have conventionally been used to …
temperatures and aging phenomena. While guard-bands have conventionally been used to …
On the design of radix-K approximate multiplier using 2D pseudo-booth encoding
In this paper, we propose energy-efficient unsigned approximate multipliers using the
Pseudo-Booth (PB) encoding that are suitable for large dynamic-range operands thanks to …
Pseudo-Booth (PB) encoding that are suitable for large dynamic-range operands thanks to …
Approximate Computing in Critical Applications: ECG Arrhythmia Classification
Approximate computing is a technique which designers are fallen back on considering the
low-power requirements of applications that are resilient to errors. However, the utilization of …
low-power requirements of applications that are resilient to errors. However, the utilization of …
A Design Space Exploration of Power-efficient Gaussian Filter Architectures using Logical Optimization and Approximated Adders
A Design Space Exploration of Power-efficient Gaussian Filter Architectures using Logical
Optimization and Approximated Adders Page 1 Journal of Integrated Circuits and Systems, vol …
Optimization and Approximated Adders Page 1 Journal of Integrated Circuits and Systems, vol …