A survey paper on design and implementation of multipliers for digital system applications
S Immareddy, A Sundaramoorthy - Artificial Intelligence Review, 2022 - Springer
Multiplication is one of the essential functions in all digital systems. The evaluation of digital
system, have brought out new challenges in VLSI (Very Large Scale Integration) designing …
system, have brought out new challenges in VLSI (Very Large Scale Integration) designing …
autoax: An automatic design space exploration and circuit building methodology utilizing libraries of approximate components
Approximate computing is an emerging paradigm for developing highly energy-efficient
computing systems such as various accelerators. In the literature, many libraries of …
computing systems such as various accelerators. In the literature, many libraries of …
Predicting citywide road traffic flow using deep spatiotemporal neural networks
Traffic flow forecasting has been a long-standing topic in intelligent transportation systems,
and a renewed interest has been seen in recent years due to the development of artificial …
and a renewed interest has been seen in recent years due to the development of artificial …
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems
The current state-of-the-art approximate adders are mostly ASIC-based, ie, they focus solely
on gate and/or transistor level approximations (eg, through circuit simplification or …
on gate and/or transistor level approximations (eg, through circuit simplification or …
AxHLS: Design space exploration and high-level synthesis of approximate accelerators using approximate functional units and analytical models
J Castro-Godínez, J Mateus-Vargas… - Proceedings of the 39th …, 2020 - dl.acm.org
With the emergence of approximate computing as a design paradigm, many approximate
functional units have been proposed, particularly approximate adders and multipliers. These …
functional units have been proposed, particularly approximate adders and multipliers. These …
MACISH: Designing approximate MAC accelerators with internal-self-healing
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
Big data‐driven machine learning‐enabled traffic flow prediction
F Kong, J Li, B Jiang, T Zhang… - Transactions on …, 2019 - Wiley Online Library
Real‐time effective traffic flow big data prediction network has important application
significance. Over the past few years, traffic flow data have been exploding and we have …
significance. Over the past few years, traffic flow data have been exploding and we have …
SquASH: Approximate square-accumulate with self-healing
Approximate computing strives to achieve the highest performance-, area-, and power-
efficiency for a given quality constraint and vice versa. Conventional approximate design …
efficiency for a given quality constraint and vice versa. Conventional approximate design …
Compiler-driven error analysis for designing approximate accelerators
J Castro-Godínez, S Esser, M Shafique… - … , Automation & Test …, 2018 - ieeexplore.ieee.org
Approximate Computing has emerged as a design paradigm suitable to applications with
inherent error resilience. This paradigm aims to reduce the associated computing costs …
inherent error resilience. This paradigm aims to reduce the associated computing costs …
Approximate on-the-fly coarse-grained reconfigurable acceleration for general-purpose applications
Approximate functional unit designs have the potential to reduce power consumption
significantly compared to their precise counterparts; however, few works have investigated …
significantly compared to their precise counterparts; however, few works have investigated …