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 …
Hardware approximate techniques for deep neural network accelerators: A survey
Deep Neural Networks (DNNs) are very popular because of their high performance in
various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …
various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …
Comparison and extension of approximate 4-2 compressors for low-power approximate multipliers
Approximate multipliers attract a large interest in the scientific literature that proposes
several circuits built with approximate 4-2 compressors. Due to the large number of …
several circuits built with approximate 4-2 compressors. Due to the large number of …
Evoapprox8b: Library of approximate adders and multipliers for circuit design and benchmarking of approximation methods
Approximate circuits and approximate circuit design methodologies attracted a significant
attention of researchers as well as industry in recent years. In order to accelerate the …
attention of researchers as well as industry in recent years. In order to accelerate the …
Dual-quality 4: 2 compressors for utilizing in dynamic accuracy configurable multipliers
In this paper, we propose four 4: 2 compressors, which have the flexibility of switching
between the exact and approximate operating modes. In the approximate mode, these dual …
between the exact and approximate operating modes. In the approximate mode, these dual …
Approximate logic synthesis: A survey
Approximate computing is an emerging paradigm that, by relaxing the requirement for full
accuracy, offers benefits in terms of design area and power consumption. This paradigm is …
accuracy, offers benefits in terms of design area and power consumption. This paradigm is …
End-to-end multi-modal multi-task vehicle control for self-driving cars with visual perceptions
Convolutional Neural Networks (CNN) have been successfully applied to autonomous
driving tasks, many in an end-to-end manner. Previous end-to-end steering control methods …
driving tasks, many in an end-to-end manner. Previous end-to-end steering control methods …
Cross-layer approximate computing: From logic to architectures
We present a survey of approximate techniques and discuss concepts for building power-
/energy-efficient computing components reaching from approximate accelerators to …
/energy-efficient computing components reaching from approximate accelerators to …
High-performance accurate and approximate multipliers for FPGA-based hardware accelerators
Multiplication is one of the widely used arithmetic operations in a variety of applications,
such as image/video processing and machine learning. FPGA vendors provide high …
such as image/video processing and machine learning. FPGA vendors provide high …
RAP-CLA: A reconfigurable approximate carry look-ahead adder
In this brief, we propose a fast yet energy-efficient reconfigurable approximate carry look-
ahead adder (RAP-CLA). This adder has the ability of switching between the approximate …
ahead adder (RAP-CLA). This adder has the ability of switching between the approximate …