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 …
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 …
Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
A survey on machine learning accelerators and evolutionary hardware platforms
Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …
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 …
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 …
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 …
[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 …
AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems
Approximate arithmetic operators, such as adders and multipliers, are increasingly used to
satisfy the energy and performance requirements of resource-constrained embedded …
satisfy the energy and performance requirements of resource-constrained embedded …