Implementing spiking neural networks on neuromorphic architectures: A review
Recently, both industry and academia have proposed several different neuromorphic
systems to execute machine learning applications that are designed using Spiking Neural …
systems to execute machine learning applications that are designed using Spiking Neural …
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 …
A retrospective and prospective view of approximate computing [point of view
W Liu, F Lombardi, M Shulte - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Computing systems are conventionally designed to operate as accurately as possible.
However, this trend faces severe technology challenges, such as power consumption, circuit …
However, this trend faces severe technology challenges, such as power consumption, circuit …
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 …
FPGA-based multi-level approximate multipliers for high-performance error-resilient applications
N Van Toan, JG Lee - IEEE Access, 2020 - ieeexplore.ieee.org
This paper presents approximate multipliers which are efficiently deployed on Field
Programmable Gate Arrays (FPGAs) by using newly proposed approximate logic …
Programmable Gate Arrays (FPGAs) by using newly proposed approximate logic …
Libraries of approximate circuits: Automated design and application in CNN accelerators
Libraries of approximate circuits are composed of fully characterized digital circuits that can
be used as building blocks of energy-efficient implementations of hardware accelerators …
be used as building blocks of energy-efficient implementations of hardware accelerators …
AxBMs: Approximate radix-8 booth multipliers for high-performance FPGA-based accelerators
The focus of existing designs on approximate radix-8 Booth multipliers has been on ASIC-
based platforms. These multipliers are based on an approximation as defined for ASIC …
based platforms. These multipliers are based on an approximation as defined for ASIC …
Approximate recursive multipliers using low power building blocks
E Zacharelos, I Nunziata, G Saggese… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
Approximate computing, frequently used in error tolerant applications, aims to achieve
higher circuit performances by allowing the possibility of inaccurate results, rather than …
higher circuit performances by allowing the possibility of inaccurate results, rather than …
Area-optimized accurate and approximate softcore signed multiplier architectures
Multiplication is one of the most extensively used arithmetic operations in a wide range of
applications. In order to provide resource-efficient and high-performance multipliers …
applications. In order to provide resource-efficient and high-performance multipliers …
[HTML][HTML] Adaptive approximate computing in edge AI and IoT applications: A review
Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …
deployment of emerging smart health and mobility applications. These developments have …