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 …
A survey of coarse-grained reconfigurable architecture and design: Taxonomy, challenges, and applications
As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …
A survey on approximate multiplier designs for energy efficiency: From algorithms to circuits
Given the stringent requirements of energy efficiency for Internet-of-Things edge devices,
approximate multipliers, as a basic component of many processors and accelerators, have …
approximate multipliers, as a basic component of many processors and accelerators, have …
BioCare: An energy-efficient CGRA for bio-signal processing at the edge
Z Ebrahimi, A Kumar - 2021 IEEE International Symposium on …, 2021 - ieeexplore.ieee.org
Coarse Grained Reconfigurable Architectures (CGRAs) have proved to be viable platforms
for health monitoring applications. Targeting energy-efficiency, state-of-the-art (SoA) CGRAs …
for health monitoring applications. Targeting energy-efficiency, state-of-the-art (SoA) CGRAs …
Hardware efficient approximate multiplier architecture for image processing applications
S Chandaka, B Narayanam - Journal of Electronic Testing, 2022 - Springer
In this research paper, approximate multipliers are designed to reduce the computational
time and power delay product. However, there is a high possibility to further optimize the …
time and power delay product. However, there is a high possibility to further optimize the …
Eventtimer: Fast and accurate event-based dynamic timing analysis
As the transistor shrinks to nanoscale, the overhead of ensuring circuit functionality becomes
extremely large due to the increasing timing variations. Thus, better-than-worst-case design …
extremely large due to the increasing timing variations. Thus, better-than-worst-case design …
Machine learning-based self-compensating approximate computing
Dedicated hardware accelerators are suitable for parallel computational tasks. Moreover,
they have the tendency to accept inexact results. These hardware accelerators are …
they have the tendency to accept inexact results. These hardware accelerators are …
Cross-layer approximate hardware synthesis for runtime configurable accuracy
Approximate computing trades off computation accuracy against energy efficiency. The
extent of approximation tolerance, however, significantly varies with a change in input …
extent of approximation tolerance, however, significantly varies with a change in input …
A reconfigurable approximate computing architecture with dual-VDD for low-power Binarized weight network deployment
B Liu, A Xue, Z Wang, N Xie, X Wang… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Approximate computing (AC) is an innovative paradigm for error-resilient signal processing
applications. Addition is often a fundamental function for many of these applications …
applications. Addition is often a fundamental function for many of these applications …
FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow
Coarse-Grained Reconfigurable Arrays (CGRAs) are well-suited to resource-constrained
edge devices due to their optimal combination of performance, energy efficiency, and …
edge devices due to their optimal combination of performance, energy efficiency, and …