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

https://doi.org/10.1109/cloudcom.2016.0036

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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/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2016.284openalex-snapshot

FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters

inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/icpp.2013.17openalex-snapshot

Efficient Inter-node MPI Communication Using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs

inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot

Caffe

inferredcites →https://doi.org/10.1145/2966884.2966912openalex-snapshot

Efficient Large Message Broadcast using NCCL and CUDA-Aware MPI for Deep Learning

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.21437/interspeech.2014-274openalex-snapshot

1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

inferredcites →https://doi.org/10.48550/arxiv.1211.5590openalex-snapshot

Theano: new features and speed improvements

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1511.06314openalex-snapshot

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot

Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine Learning for Unmanned Aerial Vehicle Routing on Rough Terrain

inferred← citeshttps://doi.org/10.1007/978-981-19-2266-4_35openalex-snapshot

Speech Recognition for Power Customer Service Based on DNN and CNN Models

inferred← citeshttps://doi.org/10.1007/s10489-025-06259-xopenalex-snapshot

Unveiling the frontiers of deep learning: Innovations shaping diverse domains

inferred← citeshttps://doi.org/10.1007/s11831-018-09312-wopenalex-snapshot

Various Frameworks and Libraries of Machine Learning and Deep Learning: A Survey

inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.11.005openalex-snapshot

Communication optimization strategies for distributed deep neural network training: A survey

inferred← citeshttps://doi.org/10.1016/j.parco.2019.03.005openalex-snapshot

Optimized large-message broadcast for deep learning workloads: MPI, MPI+NCCL, or NCCL2?

inferred← citeshttps://doi.org/10.1080/08839514.2022.2095039openalex-snapshot

Automatic Speech Recognition Using Limited Vocabulary: A Survey

inferred← citeshttps://doi.org/10.1109/icpp.2017.25openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/micro.2018.00023openalex-snapshot

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/tpds.2018.2867222openalex-snapshot

Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast

inferred← citeshttps://doi.org/10.1145/3236367.3236381openalex-snapshot

Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters

inferred← citeshttps://doi.org/10.30855/gmbd.2019.03.01openalex-snapshot

Derin Öğrenme Araştırma Alanlarının Literatür Taraması

inferred← citeshttps://doi.org/10.3390/electronics10080952openalex-snapshot

GPU-Based Embedded Intelligence Architectures and Applications

inferred← citeshttps://doi.org/10.3390/network1030019openalex-snapshot

Large Geographical Area Aerial Surveillance Systems Data Network Infrastructure Managed by Artificial Intelligence and Certified over Blockchain: A Review

inferred← citeshttps://doi.org/10.48550/arxiv.1910.07360openalex-snapshot

Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology

inferred← citeshttps://doi.org/10.71097/ijsat.v9.i3.5273openalex-snapshot

Enabling Scalable GPU Clusters for Distributed Deep Learning in the Cloud

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