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 …
Simplified compressor and encoder designs for low-cost approximate radix-4 booth multiplier
In this brief, we present a novel design methodology of cost-effective approximate radix-4
Booth multipliers, which can significantly reduce the power consumption of error-resilient …
Booth multipliers, which can significantly reduce the power consumption of error-resilient …
[HTML][HTML] High-performance, energy-efficient, and memory-efficient FIR filter architecture utilizing 8x8 approximate multipliers for wireless sensor network in the Internet …
IoT uses wireless sensor networks (WSN) to deploy many sensors to track environmental
and physical parameters. The WSN measurements are frequently contaminated and altered …
and physical parameters. The WSN measurements are frequently contaminated and altered …
FPGA acceleration of deep reinforcement learning using on-chip replay management
A major bottleneck in parallelizing deep reinforcement learning (DRL) is in the high latency
to perform various operations used to update the Prioritized Replay Buffer on CPU. The low …
to perform various operations used to update the Prioritized Replay Buffer on CPU. The low …
Max-dnn: Multi-level arithmetic approximation for energy-efficient DNN hardware accelerators
Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established
them as the defacto approach for providing advanced Machine Learning tasks with excellent …
them as the defacto approach for providing advanced Machine Learning tasks with excellent …
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
V Leon - arXiv preprint arXiv:2302.12194, 2023 - arxiv.org
The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …
platforms to sustain increased power efficiency, while providing sufficient performance …
Design Space Exploration on High-Order QAM Demodulation Circuits: Algorithms, Arithmetic and Approximation Techniques
Every new generation of wireless communication standard aims to improve the overall
performance and quality of service (QoS), compared to the previous generations. Increased …
performance and quality of service (QoS), compared to the previous generations. Increased …
A survey on FPGA-based accelerator for ML models
This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …
Design Automation and Quantitative Analysis of Approximate Arithmetic Circuits
This paper addresses the growing interest in approximate computing circuits, recognized as
promising alternatives for accelerating hardware for applications such as machine learning …
promising alternatives for accelerating hardware for applications such as machine learning …
Enabling an Isolated and Energy-Aware Deployment of Computationally Intensive Kernels on Multi-tenant Environments
A Kokkinis, A Nanos, K Siozios - International Conference on Embedded …, 2023 - Springer
Nowadays, hardware acceleration can be used as a service for maximizing the applications'
performance and achieve significant speedup in time-critical scenarios. FPGA devices …
performance and achieve significant speedup in time-critical scenarios. FPGA devices …