Approximate computing: Concepts, architectures, challenges, applications, and future directions
The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …
Carry disregard approximate multipliers
Several challenges in improving the performance of computing systems have given rise to
emerging computing paradigms. One of these paradigms is approximate computing. Many …
emerging computing paradigms. One of these paradigms is approximate computing. Many …
Harnessing approximate computing for machine learning
This paper explores the integration and application of Approximate Computing (AxC)
approaches to Machine Learning (ML), especially Deep Learning (DL) models. We focus on …
approaches to Machine Learning (ML), especially Deep Learning (DL) models. We focus on …
A Reconfigurable Approximate Computing RISC-V Platform for Fault-Tolerant Applications
The demand for energy-efficient and high-performance embedded systems drives the
evolution of new hardware architectures, including concepts like approximate computing …
evolution of new hardware architectures, including concepts like approximate computing …
Design and Analysis of Energy Efficient Approximate Multipliers for Image Processing and Deep Neural Network
A Kumari, RP Palathinkal - … on Circuits and Systems I: Regular …, 2024 - ieeexplore.ieee.org
Numerous obstacles in enhancing the performance of computing systems have spurred the
emergence of approximate computing. Extensive studies have been reported on …
emergence of approximate computing. Extensive studies have been reported on …
Approximation-aware Task Partitioning on an Approximate-Exact MPSoC (AxE)
S Huemer, AS Baroughi… - 2023 IEEE Nordic …, 2023 - ieeexplore.ieee.org
As the demand for increased performance and reduced energy consumption continues to
grow, Quality of Service (QoS) adjustment approaches offer an effective way to tackle those …
grow, Quality of Service (QoS) adjustment approaches offer an effective way to tackle those …
Evaluation of Run-Time Energy Efficiency Using Controlled Approximation in a RISC-V Core
The limited energy available in most embedded systems poses a significant challenge in
enhancing the per-formance of embedded processors and microcontrollers. One promising …
enhancing the per-formance of embedded processors and microcontrollers. One promising …
Implementing a big. LITTLE architecture with architecturally diverse cores
BE Snell - 2024 - search.proquest.com
In processors with heterogeneous instruction sets, an unsupported instruction forces a
thread, function, or process to be moved to a core that can support the instruction or the …
thread, function, or process to be moved to a core that can support the instruction or the …