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GPU-Based Embedded Intelligence Architectures and Applications

https://doi.org/10.3390/electronics10080952

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/access.2017.2705136openalex-snapshot

GPU-Accelerated Multivariate Empirical Mode Decomposition for Massive Neural Data Processing

inferredcites →https://doi.org/10.1109/access.2018.2889533openalex-snapshot

Fast Generation of Collision-Free Trajectories for Robot Swarms Using GPU Acceleration

inferredcites →https://doi.org/10.1109/access.2019.2915380openalex-snapshot

GPU Energy Consumption Optimization With a Global-Based Neural Network Method

inferredcites →https://doi.org/10.1109/access.2019.2951218openalex-snapshot

GPU Static Modeling Using PTX and Deep Structured Learning

inferredcites →https://doi.org/10.1109/access.2020.2965624openalex-snapshot

A GPU-Based Framework for Generating Implicit Datasets of Voxelized Polygonal Models for the Training of 3D Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/acomp.2015.30openalex-snapshot

Accelerating Anomaly-Based IDS Using Neural Network on GPU

inferredcites →https://doi.org/10.1109/acssc.2018.8645364openalex-snapshot

2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation

inferredcites →https://doi.org/10.1109/aisw.2015.7469248openalex-snapshot

Gpu-based parallel optimization and embedded system application of immune convolutional neural network

inferredcites →https://doi.org/10.1109/aspdac.2017.7858303openalex-snapshot

Low-power image recognition challenge

inferredcites →https://doi.org/10.1109/bibe.2019.00067openalex-snapshot

GPU Implementation of Neural-Network Simulations Based on Adaptive-Exponential Models

inferredcites →https://doi.org/10.1109/bigdata.2016.7840590openalex-snapshot

Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers

inferredcites →https://doi.org/10.1109/bigdata.2017.8257926openalex-snapshot

ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity

inferredcites →https://doi.org/10.1109/biocas.2018.8584794openalex-snapshot

GPU - Accelerated Parameter Selection for Neural Connectivity Analysis Devices

inferredcites →https://doi.org/10.1109/candar.2018.00011openalex-snapshot

Data Pinning and Back Propagation Memory Optimization for Deep Learning on GPU

inferredcites →https://doi.org/10.1109/cbd.2019.00020openalex-snapshot

Pipe-Torch: Pipeline-Based Distributed Deep Learning in a GPU Cluster with Heterogeneous Networking

inferredcites →https://doi.org/10.1109/ccgrid.2017.110openalex-snapshot

Scaling a Convolutional Neural Network for Classification of Adjective Noun Pairs with TensorFlow on GPU Clusters

inferredcites →https://doi.org/10.1109/cloud.2017.21openalex-snapshot

DeepSpotCloud: Leveraging Cross-Region GPU Spot Instances for Deep Learning

inferredcites →https://doi.org/10.1109/cloudcom.2016.0036openalex-snapshot

Re-Designing CNTK Deep Learning Framework on Modern GPU Enabled Clusters

inferredcites →https://doi.org/10.1109/codit.2017.8102649openalex-snapshot

GPU-only unified ConvMM layer for neural classifiers

inferredcites →https://doi.org/10.1109/cvpr.2019.00186openalex-snapshot

Searching for a Robust Neural Architecture in Four GPU Hours

inferredcites →https://doi.org/10.1109/dsmp.2016.7583516openalex-snapshot

Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization

inferredcites →https://doi.org/10.1109/dsn-w.2017.47openalex-snapshot

Evaluation and Mitigation of Soft-Errors in Neural Network-Based Object Detection in Three GPU Architectures

inferredcites →https://doi.org/10.1109/eiis.2017.8298723openalex-snapshot

Deep learning application based on embedded GPU

inferredcites →https://doi.org/10.1109/eit.2018.8500090openalex-snapshot

Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging

inferredcites →https://doi.org/10.1109/fas-w.2018.00023openalex-snapshot

Efficient Multi-GPU Memory Management for Deep Learning Acceleration

inferredcites →https://doi.org/10.1109/fas-w.2019.00050openalex-snapshot

Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster

inferredcites →https://doi.org/10.1109/fpt.2016.7929192openalex-snapshot

Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC

inferredcites →https://doi.org/10.1109/hipc.2019.00035openalex-snapshot

Efficient Sparse Neural Networks Using Regularized Multi Block Sparsity Pattern on a GPU

inferredcites →https://doi.org/10.1109/hpcc-css-icess.2015.214openalex-snapshot

GPU-Memory Coordinated Energy Saving Approach Based on Extreme Learning Machine

inferredcites →https://doi.org/10.1109/hpcc-smartcity-dss.2016.0041openalex-snapshot

Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection

inferredcites →https://doi.org/10.1109/hpec.2019.8916253openalex-snapshot

Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/i2ct.2017.8226127openalex-snapshot

Identification of asphyxia in newborns using gpu for deep learning

inferredcites →https://doi.org/10.1109/ic-etite47903.2020.85openalex-snapshot

Bird Species Identification using Deep Learning on GPU platform

inferredcites →https://doi.org/10.1109/icawst.2019.8923383openalex-snapshot

Parallel Implementation of Chaos Neural Networks for an Embedded GPU

inferredcites →https://doi.org/10.1109/iccd46524.2019.00017openalex-snapshot

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks

inferredcites →https://doi.org/10.1109/icce-tw46550.2019.8991798openalex-snapshot

A GPU Implementation Method of Deep Neural Networks Based on Data Swapping

inferredcites →https://doi.org/10.1109/icghpc.2016.7508071openalex-snapshot

A scalable GPU-enabled framework for training deep neural networks

inferredcites →https://doi.org/10.1109/icis.2018.8466473openalex-snapshot

Development of a GPU-Based Human Emotion Recognition Robot Eye for Service Robot by Using Convolutional Neural Network

inferredcites →https://doi.org/10.1109/icisc.2018.8398903openalex-snapshot

GPU-based empirical evaluation of activation functions in convolutional neural networks

inferredcites →https://doi.org/10.1109/icoac48765.2019.246830openalex-snapshot

Fault and Delay Tolerance in Deep Learning Framework under GPU

inferredcites →https://doi.org/10.1109/icpp.2017.25openalex-snapshot

Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning

inferredcites →https://doi.org/10.1109/ijcnn.2016.7727737openalex-snapshot

GPU simulator of multilayer neural network based on multi-valued neurons

inferredcites →https://doi.org/10.1109/ipdps.2019.00030openalex-snapshot

Dynamic Memory Management for GPU-Based Training of Deep Neural Networks

inferredcites →https://doi.org/10.1109/iri.2019.00040openalex-snapshot

A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices

inferredcites →https://doi.org/10.1109/isbi.2011.5872507openalex-snapshot

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

inferredcites →https://doi.org/10.1109/iseee.2017.8170680openalex-snapshot

Optimization of GPU and CPU acceleration for neural networks layers implemented in python

inferredcites →https://doi.org/10.1109/ism.2015.119openalex-snapshot

Efficient Multi-training Framework of Image Deep Learning on GPU Cluster

inferredcites →https://doi.org/10.1109/ispass.2019.00041openalex-snapshot

DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis

inferredcites →https://doi.org/10.1109/jcsse.2016.7748842openalex-snapshot

A parallel probabilistic neural network ECG recognition architecture over GPU platforms

inferredcites →https://doi.org/10.1109/lgrs.2013.2279331openalex-snapshot

Optimizing Hopfield Neural Network for Spectral Mixture Unmixing on GPU Platform

inferredcites →https://doi.org/10.1109/mchpc49590.2019.00016openalex-snapshot

Machine Learning Guided Optimal Use of GPU Unified Memory

inferredcites →https://doi.org/10.1109/mdat.2013.2293757openalex-snapshot

A Review of Hardware Acceleration for Computational Genomics

inferredcites →https://doi.org/10.1109/mlhpc.2018.8638639openalex-snapshot

Aluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC Systems

inferredcites →https://doi.org/10.1109/nas.2015.7255222openalex-snapshot

HeteroSpark: A heterogeneous CPU/GPU Spark platform for machine learning algorithms

inferredcites →https://doi.org/10.1109/nysds.2018.8538946openalex-snapshot

Detailed Performance Analysis of Distributed Tensorflow on a GPU Cluster using Deep Learning Algorithms

inferredcites →https://doi.org/10.1109/r10-htc.2018.8629824openalex-snapshot

Detecting Cervix Type Using Deep learning and GPU

inferredcites →https://doi.org/10.1109/sai.2017.8252178openalex-snapshot

GWVT: A GPU maritime vessel tracker based on the wisard weightless neural network

inferredcites →https://doi.org/10.1109/smc.2015.161openalex-snapshot

Accelerating Support Vector Machine Learning with GPU-Based MapReduce

inferredcites →https://doi.org/10.1109/tcad.2020.3003843openalex-snapshot

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

inferredcites →https://doi.org/10.1109/tcad.2020.3013194openalex-snapshot

AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture

inferredcites →https://doi.org/10.1109/tnnls.2014.2345844openalex-snapshot

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

inferredcites →https://doi.org/10.1109/tpds.2019.2931558openalex-snapshot

Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters

inferredcites →https://doi.org/10.1109/tpds.2020.3006238openalex-snapshot

GPU-Accelerated Real-Time Stereo Estimation With Binary Neural Network

inferredcites →https://doi.org/10.1109/tsmc.2017.2690673openalex-snapshot

GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data

inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot

Machine learning: Trends, perspectives, and prospects

inferredcites →https://doi.org/10.1137/1.9781611976137.2openalex-snapshot

Tensor Processing Units for Financial Monte Carlo

inferredcites →https://doi.org/10.1145/2830772.2830810openalex-snapshot

Neural acceleration for GPU throughput processors

inferredcites →https://doi.org/10.1145/2901318.2901323openalex-snapshot

GeePS

inferredcites →https://doi.org/10.1145/2968456.2968476openalex-snapshot

Zero and data reuse-aware fast convolution for deep neural networks on GPU

inferredcites →https://doi.org/10.1145/3316781.3317803openalex-snapshot

DREAMPlace

inferredcites →https://doi.org/10.1561/2000000039openalex-snapshot

Deep Learning: Methods and Applications

inferredcites →https://doi.org/10.1561/9781601988157openalex-snapshot

Deep Learning: Methods and Applications

inferredcites →https://doi.org/10.23919/apsipa.2018.8659751openalex-snapshot

Real-Time Multiple Face Recognition using Deep Learning on Embedded GPU System

inferredcites →https://doi.org/10.23919/date.2019.8714846openalex-snapshot

Fast and Low-Precision Learning in GPU-Accelerated Spiking Neural Network

inferredcites →https://doi.org/10.23919/date48585.2020.9116236openalex-snapshot

PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones

inferredcites →https://doi.org/10.23919/date48585.2020.9116273openalex-snapshot

GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation

inferredcites →https://doi.org/10.3390/app8091466openalex-snapshot

Accelerated DEVS Simulation Using Collaborative Computation on Multi-Cores and GPUs for Fire-Spreading IoT Sensing Applications

inferredcites →https://doi.org/10.3390/app9010091openalex-snapshot

GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems

inferredcites →https://doi.org/10.3390/electronics9111819openalex-snapshot

GPU Accelerated Nonlinear Electronic Circuits Solver for Transient Simulation of Systems with Large Number of Components

inferredcites →https://doi.org/10.3390/w10050589openalex-snapshot

Fast Simulation of Large-Scale Floods Based on GPU Parallel Computing

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