Approximate computing survey, Part II: Application-specific & architectural approximation techniques and applications
The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …
Approximate computing survey, Part I: terminology and software & hardware approximation techniques
The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …
and machine learning has marked a new era for edge and cloud computing. These …
HPR-Mul: An Area and Energy-Efficient High-Precision Redundancy Multiplier by Approximate Computing
For critical applications that require a higher level of reliability, the triple modular
redundancy (TMR) scheme is usually employed to implement fault-tolerant arithmetic units …
redundancy (TMR) scheme is usually employed to implement fault-tolerant arithmetic units …
Result-based re-computation for error-tolerant classification by a support vector machine
Support Vector Machines (SVMs) are widely used in Machine Learning (ML) to perform
classification. For a given element, an SVM computes a value using a kernel function and …
classification. For a given element, an SVM computes a value using a kernel function and …
A survey of testing techniques for approximate integrated circuits
Approximate computing (AxC) is increasingly emerging as a new design paradigm to
produce more efficient computation systems by judiciously reducing the computation quality …
produce more efficient computation systems by judiciously reducing the computation quality …
Four Reduced Precision Redundancy by Approximation (4RPA): Design and Analysis of 4-Module Systems
S Junsangsri, F Lombardi - IEEE Transactions on Reliability, 2024 - ieeexplore.ieee.org
Reduced precision redundancy (RPR) has been widely used as an alternative to triple
modular redundancy to enhance reliable computing with tolerance to errors and faults; …
modular redundancy to enhance reliable computing with tolerance to errors and faults; …
Efficient diverse redundant DNNs for autonomous driving
Automotive applications with safety requirements must adhere to specific regulations such
as ISO 26262, which imposes the use of diverse redundancy for the highest integrity levels …
as ISO 26262, which imposes the use of diverse redundancy for the highest integrity levels …
Evaluating reduced resolution redundancy for radiation hardening in fpga designs
LA García-Astudillo, A Lindoso… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
Radiation hardening by design (RHBD) is traditionally performed using triple modular
redundancy (TMR), a very effective technique that introduces high overheads in terms of …
redundancy (TMR), a very effective technique that introduces high overheads in terms of …
Voting Margin: A Scheme for Error-Tolerant k Nearest Neighbors Classifiers for Machine Learning
Machine learning (ML) techniques such as classifiers are used in many applications, some
of which are related to safety or critical systems. In this case, correct processing is a strict …
of which are related to safety or critical systems. In this case, correct processing is a strict …
CNTFET-based ternary multiply-and-accumulate unit
Multiply-Accumulate (MAC) is one of the most commonly used operations in modern
computing systems due to its use in matrix multiplication, signal processing, and in new …
computing systems due to its use in matrix multiplication, signal processing, and in new …