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Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review
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Approximate Computing and Its Application to Hardware Security
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An Energy-Efficient and Approximate Accelerator Design for Real-Time Canny Edge Detection
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Ultra-Compact Imprecise 4:2 Compressor and Multiplier Circuits for Approximate Computing in Deep Nanoscale
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An efficient majority-based compressor for approximate computing in the nano era
inferredcites →https://doi.org/10.1007/s10617-019-09228-zopenalex-snapshot
Data clustering for efficient approximate computing
inferredcites →https://doi.org/10.1007/s10836-018-5734-9openalex-snapshot
Test and Reliability in Approximate Computing
inferredcites →https://doi.org/10.1007/s11432-021-3242-6openalex-snapshot
Self-compensation tensor multiplication unit for adaptive approximate computing in low-power CNN processing
inferredcites →https://doi.org/10.1007/s40031-019-00418-8openalex-snapshot
Approximate Computing: A Survey of Recent Trends—Bringing Greenness to Computing and Communication
inferredcites →https://doi.org/10.1016/j.comnet.2021.108074openalex-snapshot
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
inferredcites →https://doi.org/10.1016/j.comnet.2021.108652openalex-snapshot
Energy efficient 3D network-on-chip based on approximate communication
inferredcites →https://doi.org/10.1016/j.cosrev.2022.100494openalex-snapshot
The future of computing paradigms for medical and emergency applications
inferredcites →https://doi.org/10.1016/j.jclinepi.2021.03.001openalex-snapshot
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
inferredcites →https://doi.org/10.1016/j.mejo.2019.03.008openalex-snapshot
Self-compensating accelerators for efficient approximate computing
inferredcites →https://doi.org/10.1016/j.mejo.2019.03.009openalex-snapshot
An energy-efficient voice activity detector using deep neural networks and approximate computing
inferredcites →https://doi.org/10.1016/j.mejo.2019.03.011openalex-snapshot
ARA: Cross-Layer approximate computing framework based reconfigurable architecture for CNNs
inferredcites →https://doi.org/10.1016/j.mejo.2019.07.010openalex-snapshot
m-SAAC: Multi-stage adaptive approximation control to select approximate computing modes for vision applications
inferredcites →https://doi.org/10.1016/j.micpro.2016.09.005openalex-snapshot
Approximate computing of two-variable numeric functions using multiplier-less gradients
inferredcites →https://doi.org/10.1016/j.neucom.2019.10.118openalex-snapshot
A comprehensive survey on support vector machine classification: Applications, challenges and trends
inferredcites →https://doi.org/10.1016/j.phycom.2021.101444openalex-snapshot
An approximate-computing empowered green 6G downlink
inferredcites →https://doi.org/10.1016/j.suscom.2021.100521openalex-snapshot
Optimal soft error mitigation in wireless communication using approximate logic circuits
inferredcites →https://doi.org/10.1016/j.sysarc.2019.02.009openalex-snapshot
All one needs to know about fog computing and related edge computing paradigms: A complete survey
inferredcites →https://doi.org/10.1016/j.vlsi.2021.08.001openalex-snapshot
Quantization aware approximate multiplier and hardware accelerator for edge computing of deep learning applications
inferredcites →https://doi.org/10.1016/s0893-6080(97)00011-7openalex-snapshot
Networks of spiking neurons: The third generation of neural network models
inferredcites →https://doi.org/10.1038/nbt1206-1565openalex-snapshot
What is a support vector machine?
inferredcites →https://doi.org/10.1038/s41586-019-1677-2openalex-snapshot
Towards spike-based machine intelligence with neuromorphic computing
inferredcites →https://doi.org/10.1038/s41928-020-0410-3openalex-snapshot
In-memory hyperdimensional computing
inferredcites →https://doi.org/10.1049/pbcs053e_ch9openalex-snapshot
Reconfigurable and approximate computing for video coding
inferredcites →https://doi.org/10.1109/access.2018.2870273openalex-snapshot
EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing
inferredcites →https://doi.org/10.1109/access.2019.2913743openalex-snapshot
Truncated SIMD Multiplier Architecture for Approximate Computing in Low-Power Programmable Processors
inferredcites →https://doi.org/10.1109/access.2019.2959446openalex-snapshot
Integer-Value Encoding for Approximate On-Chip Communication
inferredcites →https://doi.org/10.1109/access.2019.2960948openalex-snapshot
An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing
inferredcites →https://doi.org/10.1109/access.2020.2998957openalex-snapshot
xUAVs: Towards Efficient Approximate Computing for UAVs—Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization
inferredcites →https://doi.org/10.1109/acssc.2013.6810241openalex-snapshot
Approximate computing: An integrated hardware approach
inferredcites →https://doi.org/10.1109/aqtr55203.2022.9801944openalex-snapshot
Input-Aware Approximate Computing
inferredcites →https://doi.org/10.1109/asap.2019.00018openalex-snapshot
Efficient Architectures and Implementation of Arithmetic Functions Approximation Based Stochastic Computing
inferredcites →https://doi.org/10.1109/asicon.2017.8252658openalex-snapshot
Energy efficient SVM classifier using approximate computing
inferredcites →https://doi.org/10.1109/ats.2018.00035openalex-snapshot
RiskCap: Minimizing Effort of Error Regulation for Approximate Computing
inferredcites →https://doi.org/10.1109/bigmm.2015.68openalex-snapshot
Approximate Computing in Chrominance Cache for Image/Video Processing
inferredcites →https://doi.org/10.1109/candar.2015.35openalex-snapshot
An Approximate Computing Stack Based on Computation Reuse
inferredcites →https://doi.org/10.1109/dcis.2018.8681491openalex-snapshot
Approximate Wireless Networks-on-Chip
inferredcites →https://doi.org/10.1109/dsd.2019.00034openalex-snapshot
Design of Novel CMOS Based Inexact Subtractors and Dividers for Approximate Computing: An In-Depth Comparison with PTL Based Designs
inferredcites →https://doi.org/10.1109/ets.2013.6569370openalex-snapshot
Approximate computing: An emerging paradigm for energy-efficient design
inferredcites →https://doi.org/10.1109/globalsip.2014.7032077openalex-snapshot
Energy-efficient accelerator architecture for stereo image matching using approximate computing and statistical error compensation
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013512openalex-snapshot
Low Complexity Expectation Propagation Detection for SCMA Using Approximate Computing
inferredcites →https://doi.org/10.1109/hpca.2015.7056066openalex-snapshot
SNNAP: Approximate computing on programmable SoCs via neural acceleration
inferredcites →https://doi.org/10.1109/hpca.2015.7056067openalex-snapshot
BRAINIAC: Bringing reliable accuracy into neurally-implemented approximate computing
inferredcites →https://doi.org/10.1109/hpca.2017.28openalex-snapshot
Exploring Hyperdimensional Associative Memory
inferredcites →https://doi.org/10.1109/iaict50021.2020.9172027openalex-snapshot
Approximated algorithm and low cost VLSI architecture for edge enhanced image scaling
inferredcites →https://doi.org/10.1109/iccd.2017.23openalex-snapshot
Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function
inferredcites →https://doi.org/10.1109/iccd50377.2020.00065openalex-snapshot
Scaled Population Subtraction for Approximate Computing
inferredcites →https://doi.org/10.1109/iccd53106.2021.00014openalex-snapshot
Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks
inferredcites →https://doi.org/10.1109/iccsdet.2018.8821112openalex-snapshot
Enhance the Segmentation Principle in Approximate Computing
inferredcites →https://doi.org/10.1109/icecs.2016.7841261openalex-snapshot
Always-on motion detection with application-level error control on a near-threshold approximate computing platform
inferredcites →https://doi.org/10.1109/icecs.2018.8618062openalex-snapshot
Can Approximate Computing Reduce Power Consumption on FPGAs?
inferredcites →https://doi.org/10.1109/icgtspicc.2016.7955308openalex-snapshot
Evolutionary algorithms: A critical review and its future prospects
inferredcites →https://doi.org/10.1109/icumt54235.2021.9631613openalex-snapshot
Understanding the Performance of Task Offloading for Wearables in a Two-Tier Edge Architecture
inferredcites →https://doi.org/10.1109/iemcon.2018.8614848openalex-snapshot
A Case for Table-Based Approximate Computing
inferredcites →https://doi.org/10.1109/iscas.2016.7527245openalex-snapshot
Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing
inferredcites →https://doi.org/10.1109/iscas.2016.7539140openalex-snapshot
FPGA design of approximate semidefinite relaxation for data detection in large MIMO wireless systems
inferredcites →https://doi.org/10.1109/iscas.2018.8350930openalex-snapshot
A Low-Power Yet High-Speed Configurable Adder for Approximate Computing
inferredcites →https://doi.org/10.1109/iscas.2018.8350956openalex-snapshot
An Energy Efficient JPEG Encoder with Neural Network Based Approximation and Near-Threshold Computing
inferredcites →https://doi.org/10.1109/iscas.2018.8351595openalex-snapshot
Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications
inferredcites →https://doi.org/10.1109/iscas.2018.8351769openalex-snapshot
An Energy-Efficient Approximate DCT for Wireless Capsule Endoscopy Application
inferredcites →https://doi.org/10.1109/iscas45731.2020.9181172openalex-snapshot
Binarized Weight Neural-Network Inspired Ultra-Low Power Speech Recognition Processor with Time-Domain Based Digital-Analog Mixed Approximate Computing
inferredcites →https://doi.org/10.1109/iscas51556.2021.9401780openalex-snapshot
XbNN: Enabling CNNs on Edge Devices by Approximate On-Chip Dot Product Encoding
inferredcites →https://doi.org/10.1109/islped.2015.7273520openalex-snapshot
DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing
inferredcites →https://doi.org/10.1109/isocc.2016.7799758openalex-snapshot
Approximate stochastic computing (ASC) for image processing applications
inferredcites →https://doi.org/10.1109/isocc.2018.8649979openalex-snapshot
Generalized Adaptive Variable Bit Truncation Method for Approximate Stochastic Computing
inferredcites →https://doi.org/10.1109/ispass.2016.7482078openalex-snapshot
Splash-3: A properly synchronized benchmark suite for contemporary research
inferredcites →https://doi.org/10.1109/isscc42614.2022.9731686openalex-snapshot
A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing
inferredcites →https://doi.org/10.1109/isvlsi.2017.13openalex-snapshot
Reconfigurable Support Vector Machine Classifier with Approximate Computing
inferredcites →https://doi.org/10.1109/isvlsi.2018.00109openalex-snapshot
A Low-Power and Small-Area Multiplier for Accuracy-Scalable Approximate Computing
inferredcites →https://doi.org/10.1109/isvlsi49217.2020.00026openalex-snapshot
A Multi-grained Reconfigurable Accelerator for Approximate Computing
inferredcites →https://doi.org/10.1109/isvlsi49217.2020.00064openalex-snapshot
Low-Power and Energy-Efficient Full Adders With Approximate Adiabatic Logic for Edge Computing
inferredcites →https://doi.org/10.1109/jetcas.2018.2835809openalex-snapshot
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jproc.2020.3014430openalex-snapshot
Approximate Logic Synthesis: A Survey
inferredcites →https://doi.org/10.1109/jproc.2020.3020792openalex-snapshot
Circuit-Level Techniques for Logic and Memory Blocks in Approximate Computing Systemsx
inferredcites →https://doi.org/10.1109/jproc.2020.3029453openalex-snapshot
Efficient AI System Design With Cross-Layer Approximate Computing
inferredcites →https://doi.org/10.1109/jproc.2020.3030121openalex-snapshot
Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/jproc.2020.3034117openalex-snapshot
Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing
inferredcites →https://doi.org/10.1109/lascas.2016.7451089openalex-snapshot
Exploiting approximate adder circuits for power-efficient Gaussian and Gradient filters for Canny edge detector algorithm
inferredcites →https://doi.org/10.1109/lascas45839.2020.9069040openalex-snapshot
Approximate Acceleration for CNN-based Applications on IoT Edge Devices
inferredcites →https://doi.org/10.1109/lascas53948.2022.9789080openalex-snapshot
Exploring the Impacts of Multiple Kernel Sizes of Gaussian Filters Combined to Approximate Computing in Canny Edge Detection
inferredcites →https://doi.org/10.1109/les.2015.2393860openalex-snapshot
Exploiting Partially-Forgetful Memories for Approximate Computing
inferredcites →https://doi.org/10.1109/les.2017.2703585openalex-snapshot
Challenging the Best HEVC Fractional Pixel FPGA Interpolators With Reconfigurable and Multifrequency Approximate Computing
inferredcites →https://doi.org/10.1109/les.2021.3137335openalex-snapshot
Fast and High-Accuracy Approximate MAC Unit Design for CNN Computing
inferredcites →https://doi.org/10.1109/mcas.2020.2988388openalex-snapshot
Classification Using Hyperdimensional Computing: A Review
inferredcites →https://doi.org/10.1109/mcas.2021.3118175openalex-snapshot
Precision Adaptive MFCC Based on R2SDF-FFT and Approximate Computing for Low-Power Speech Keywords Recognition
inferredcites →https://doi.org/10.1109/mce.2021.3053908openalex-snapshot
Approximate Adiabatic Logic for Low-Power and Secure Edge Computing
inferredcites →https://doi.org/10.1109/mdat.2015.2505723openalex-snapshot
Approximate Computing: A Survey
inferredcites →https://doi.org/10.1109/micro.2012.48openalex-snapshot
Neural Acceleration for General-Purpose Approximate Programs
inferredcites →https://doi.org/10.1109/mlcad52597.2021.9531079openalex-snapshot
Approximate Divider Design Based on Counting-Based Stochastic Computing Division
inferredcites →https://doi.org/10.1109/mm.2018.112130359openalex-snapshot
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
inferredcites →https://doi.org/10.1109/mm.2018.2873951openalex-snapshot
Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures
inferredcites →https://doi.org/10.1109/naecon.2014.7045768openalex-snapshot
Inexact computing with approximate adder application
inferredcites →https://doi.org/10.1109/nano.2013.6720793openalex-snapshot
Approximate XOR/XNOR-based adders for inexact computing
inferredcites →https://doi.org/10.1109/nanoarch.2015.7180603openalex-snapshot
Transmission gate-based approximate adders for inexact computing
inferredcites →https://doi.org/10.1109/newcas.2015.7182027openalex-snapshot
Approximate computing with unreliable dynamic memories
inferredcites →https://doi.org/10.1109/pact.2017.34openalex-snapshot
DrMP: Mixed Precision-Aware DRAM for High Performance Approximate and Precise Computing
inferredcites →https://doi.org/10.1109/patmos.2019.8862161openalex-snapshot
Reliability of an Industrial Wireless Communication System using Approximate Units
inferredcites →https://doi.org/10.1109/primeasia47521.2019.8950742openalex-snapshot
Efficient Approximate Image Processor with Low-part Stochastic Computing
inferredcites →https://doi.org/10.1109/rtss52674.2021.00035openalex-snapshot
HIART-MCS: High Resilience and Approximated Computing Architecture for Imprecise Mixed-Criticality Systems
inferredcites →https://doi.org/10.1109/sbcci53441.2021.9529347openalex-snapshot
Exploring Approximate Computing and Near- Threshold Operation to Design Energy -efficient Multipliers
inferredcites →https://doi.org/10.1109/sbesc53686.2021.9628356openalex-snapshot
Lightweight Dual Modular Redundancy through Approximate Computing
inferredcites →https://doi.org/10.1109/ssci.2015.95openalex-snapshot
Controlled-Accuracy Approximation of Nonlinear Functions for Soft Computing Applications: A High Performance Co-proccessor for Intelligent Embedded Systems
inferredcites →https://doi.org/10.1109/tbcas.2019.2951222openalex-snapshot
Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud
inferredcites →https://doi.org/10.1109/tc.2017.2653780openalex-snapshot
Two Approximate Voting Schemes for Reliable Computing
inferredcites →https://doi.org/10.1109/tc.2017.2672976openalex-snapshot
Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing
inferredcites →https://doi.org/10.1109/tc.2017.2731770openalex-snapshot
Approximate DCT Image Compression Using Inexact Computing
inferredcites →https://doi.org/10.1109/tc.2018.2883597openalex-snapshot
mARGOt: A Dynamic Autotuning Framework for Self-Aware Approximate Computing
inferredcites →https://doi.org/10.1109/tc.2020.3027182openalex-snapshot
On Performance Optimization and Quality Control for Approximate-Communication-Enabled Networks-on-Chip
inferredcites →https://doi.org/10.1109/tcad.2015.2474396openalex-snapshot
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
inferredcites →https://doi.org/10.1109/tcad.2016.2633474openalex-snapshot
Synergistic HW/SW Approximation Techniques for Ultra-Low-Power Parallel Computing
inferredcites →https://doi.org/10.1109/tcad.2019.2937738openalex-snapshot
X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture
inferredcites →https://doi.org/10.1109/tcad.2020.3012235openalex-snapshot
Learning-Based Quality Management for Approximate Communication in Network-on-Chips
inferredcites →https://doi.org/10.1109/tcsi.2015.2388839openalex-snapshot
Array-Based Approximate Arithmetic Computing: A General Model and Applications to Multiplier and Squarer Design
inferredcites →https://doi.org/10.1109/tcsi.2015.2437513openalex-snapshot
Result-Biased Distributed-Arithmetic-Based Filter Architectures for Approximately Computing the DWT
inferredcites →https://doi.org/10.1109/tcsi.2020.3001654openalex-snapshot
A Probabilistic Prediction-Based Fixed-Width Booth Multiplier for Approximate Computing
inferredcites →https://doi.org/10.1109/tcsi.2020.3038417openalex-snapshot
Ultralow-Latency VLSI Architecture Based on a Linear Approximation Method for Computing Nth Roots of Floating-Point Numbers
inferredcites →https://doi.org/10.1109/tcsii.2018.2847441openalex-snapshot
A High-Speed Successive-Cancellation Decoder for Polar Codes Using Approximate Computing
inferredcites →https://doi.org/10.1109/tcsii.2022.3148122openalex-snapshot
Design of Approximate Radix-256 Booth Encoding for Error-Tolerant Computing
inferredcites →https://doi.org/10.1109/tcsii.2022.3159261openalex-snapshot
A Compact Hardware Architecture for Bilateral Filter With the Combination of Approximate Computing and Look-Up Table
inferredcites →https://doi.org/10.1109/tcsii.2022.3161995openalex-snapshot
Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory
inferredcites →https://doi.org/10.1109/tcsvt.2018.2812781openalex-snapshot
Reconfigurable Architecture for Neural Approximation in Multimedia Computing
inferredcites →https://doi.org/10.1109/tetc.2016.2598283openalex-snapshot
Automated High-Level Generation of Low-Power Approximate Computing Circuits
inferredcites →https://doi.org/10.1109/tetc.2017.2673548openalex-snapshot
A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing
inferredcites →https://doi.org/10.1109/tetc.2022.3162165openalex-snapshot
A Technique for Approximate Communication in Network-on-Chips for Image Classification
inferredcites →https://doi.org/10.1109/tmscs.2016.2617343openalex-snapshot
Exploiting the Potential of Computation Reuse Through Approximate Computing
inferredcites →https://doi.org/10.1109/tnet.2012.2226470openalex-snapshot
Design and Implementation of an “Approximate” Communication System for Wireless Media Applications
inferredcites →https://doi.org/10.1109/tvlsi.2014.2365458openalex-snapshot
Energy Efficient Approximate Arithmetic for Error Resilient Neuromorphic Computing
inferredcites →https://doi.org/10.1109/tvlsi.2016.2520979openalex-snapshot
Low-Power FPGA Design Using Memoization-Based Approximate Computing
inferredcites →https://doi.org/10.1109/tvlsi.2018.2884848openalex-snapshot
Toward Self-Tunable Approximate Computing
inferredcites →https://doi.org/10.1109/tvlsi.2020.2976131openalex-snapshot
Design of Approximate Booth Squarer for Error-Tolerant Computing
inferredcites →https://doi.org/10.1109/tvlsi.2020.3016939openalex-snapshot
ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing
inferredcites →https://doi.org/10.1109/wf-iot48130.2020.9221165openalex-snapshot
Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things
inferredcites →https://doi.org/10.1136/bmj.n71openalex-snapshot
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
inferredcites →https://doi.org/10.1145/2000064.2000108openalex-snapshot
Dark silicon and the end of multicore scaling
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Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/2463209.2488873openalex-snapshot
Analysis and characterization of inherent application resilience for approximate computing
inferredcites →https://doi.org/10.1145/2465787.2465789openalex-snapshot
Ten Years of Building Broken Chips
inferredcites →https://doi.org/10.1145/2540708.2540710openalex-snapshot
Quality programmable vector processors for approximate computing
inferredcites →https://doi.org/10.1145/2593069.2593082openalex-snapshot
An Approximate Computing Technique for Reducing the Complexity of a Direct-Solver for Sparse Linear Systems in Real-Time Video Processing
inferredcites →https://doi.org/10.1145/2742060.2742063openalex-snapshot
Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing
inferredcites →https://doi.org/10.1145/2744769.2751163openalex-snapshot
Approximate computing and the quest for computing efficiency
inferredcites →https://doi.org/10.1145/2893356openalex-snapshot
A Survey of Techniques for Approximate Computing
inferredcites →https://doi.org/10.1145/2897937.2898057openalex-snapshot
Optimal design of JPEG hardware under the approximate computing paradigm
inferredcites →https://doi.org/10.1145/2934583.2934608openalex-snapshot
On Effective and Efficient Quality Management for Approximate Computing
inferredcites →https://doi.org/10.1145/3061639.3062307openalex-snapshot
Real-Time Meets Approximate Computing
inferredcites →https://doi.org/10.1145/3131274openalex-snapshot
Analysis and Design of Adders for Approximate Computing
inferredcites →https://doi.org/10.1145/313817openalex-snapshot
Proceedings of the 1999 international symposium on Low power electronics and design - ISLPED '99
inferredcites →https://doi.org/10.1145/3240765.3240819openalex-snapshot
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators
inferredcites →https://doi.org/10.1145/3299874.3319455openalex-snapshot
Approximate Communication Strategies for Energy-Efficient and High Performance NoC
inferredcites →https://doi.org/10.1145/3307651openalex-snapshot
Enhancing Speculative Execution With Selective Approximate Computing
inferredcites →https://doi.org/10.1145/3310273.3323159openalex-snapshot
Evaluation of variable bit-width units in a RISC-V processor for approximate computing
inferredcites →https://doi.org/10.1145/3338852.3339875openalex-snapshot
Exploiting approximate computing for low-cost fault tolerant architectures
inferredcites →https://doi.org/10.1145/3359986.3361209openalex-snapshot
Approximate computing for multithreaded programs in shared memory architectures
inferredcites →https://doi.org/10.1145/3379448openalex-snapshot
Exploiting Data Resilience in Wireless Network-on-chip Architectures
inferredcites →https://doi.org/10.1145/3386263.3406906openalex-snapshot
An Ultra-low Power Keyword-Spotting Accelerator Using Circuit-Architecture-System Co-design and Self-adaptive Approximate Computing Based BWN
inferredcites →https://doi.org/10.1145/3386263.3407589openalex-snapshot
A Background Noise Self-adaptive VAD Using SNR Prediction Based Precision Dynamic Reconfigurable Approximate Computing
inferredcites →https://doi.org/10.1145/3386263.3407592openalex-snapshot
Side Channel Attacks vs Approximate Computing
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Is It Approximate Computing or Malicious Computing?
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Approximate computing for spiking neural networks
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Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding
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Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors
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FTApprox: A Fault-Tolerant Approximate Arithmetic Computing Data Format
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Value Similarity Extensions for Approximate Computing in General-Purpose Processors
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Towards Approximate Computing for Achieving Energy vs. Accuracy Trade-offs
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A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing
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Evolutionary Algorithms in Approximate Computing: A Survey
inferredcites →https://doi.org/10.3389/fnins.2018.00774openalex-snapshot
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inferredcites →https://doi.org/10.3390/jlpea10030024openalex-snapshot
Optimized VLSI Architecture of HEVC Fractional Pixel Interpolators with Approximate Computing
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Implementation of a Fuel Estimation Algorithm Using Approximated Computing
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A Survey of Security in Cloud, Edge, and Fog Computing
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Lazy Pipelines: Enhancing Quality in Approximate Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Energy-Latency Computation Offloading and Approximate Computing in Mobile-Edge Computing Networks
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Multi-AMR Communication-Computing Resource Joint Allocation Method Based on MAPPO
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Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
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Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques
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Approximate Logarithmic Squarers for QRS Identification on Arrhythmia Detection and Classification
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FV-LIDAC: Formally Verified Library of Input Data Aware Approximate Arithmetic Circuits
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Energy-efficient approximate multiplier with incomplete-sorted 4-2 compressor for neural network applications
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ADVANCING MEDICAL DEVICE MANUFACTURING: THE CONVERGENCE OF EDGE COMPUTING AND INDUSTRY 5.0
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Energy Efficient Wireless Signal Detection: A Revisit through the Lens of Approximate Computing
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Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms
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