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Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs

https://doi.org/10.1145/3358699
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What this work says

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

inferredcites →https://doi.org/10.1006/jpdc.2000.1714openalex-snapshot
A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.09.017openalex-snapshot
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
inferredcites →https://doi.org/10.1016/j.jss.2011.01.051openalex-snapshot
Task assignment in heterogeneous computing systems using an effective iterated greedy algorithm
inferredcites →https://doi.org/10.1109/biocas.2018.8584791openalex-snapshot
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection
inferredcites →https://doi.org/10.1109/bsn.2015.7299406openalex-snapshot
A-Wristocracy: Deep learning on wrist-worn sensing for recognition of user complex activities
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/iccd.1993.393415openalex-snapshot
Proceedings of 1993 IEEE International Conference on Computer Design ICCD'93
inferredcites →https://doi.org/10.1109/isqed.2019.8697497openalex-snapshot
Exploiting Energy-Accuracy Trade-off through Contextual Awareness in Multi-Stage Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/isqed.2019.8697574openalex-snapshot
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices
inferredcites →https://doi.org/10.1109/isscc.1994openalex-snapshot
Proceedings of IEEE International Solid-State Circuits Conference - ISSCC '94
inferredcites →https://doi.org/10.1109/jssc.2014.2356197openalex-snapshot
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS
inferredcites →https://doi.org/10.1109/reconfig.2018.8641702openalex-snapshot
A Scalable and Low Power DCNN for Multimodal Data Classification
inferredcites →https://doi.org/10.1109/tcad.2017.2705069openalex-snapshot
Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA
inferredcites →https://doi.org/10.1109/tcsii.2014.2385211openalex-snapshot
A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection
inferredcites →https://doi.org/10.1109/tii.2013.2294137openalex-snapshot
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm
inferredcites →https://doi.org/10.1109/tvlsi.2018.2825145openalex-snapshot
Accelerating Convolutional Neural Network With FFT on Embedded Hardware
inferredcites →https://doi.org/10.1145/1815961.1815993openalex-snapshot
A dynamically configurable coprocessor for convolutional neural networks
inferredcites →https://doi.org/10.1145/2038037.1941561openalex-snapshot
A domain-specific approach to heterogeneous parallelism
inferredcites →https://doi.org/10.1145/2902961.2902986openalex-snapshot
Low-Power Manycore Accelerator for Personalized Biomedical Applications
inferredcites →https://doi.org/10.1145/3005448openalex-snapshot
SPARCNet
inferredcites →https://doi.org/10.1145/3123939.3124552openalex-snapshot
C ir CNN
inferredcites →https://doi.org/10.1145/3194554.3194601openalex-snapshot
SCALENet
inferredcites →https://doi.org/10.1145/3287624.3288756openalex-snapshot
XPPE
inferredcites →https://doi.org/10.1145/3316781.3317873openalex-snapshot
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers
inferredcites →https://doi.org/10.1145/352029.352035openalex-snapshot
Domain-specific languages
inferredcites →https://doi.org/10.1145/3605573openalex-snapshot
Proceedings of the 52nd International Conference on Parallel Processing
inferredcites →https://doi.org/10.1161/01.cir.101.23.e215openalex-snapshot
PhysioBank, PhysioToolkit, and PhysioNet
inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot
Caffe: Convolutional Architecture for Fast Feature Embedding
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.1412.7580openalex-snapshot
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
inferredcites →https://doi.org/10.48550/arxiv.1512.00567openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.48550/arxiv.1802.06367openalex-snapshot
Efficient Sparse-Winograd Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1901.05582openalex-snapshot
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-97-6489-1_5openalex-snapshot
Efficient Deep Learning Inference Engine on SoC Platform
inferred← citeshttps://doi.org/10.1109/access.2021.3115243openalex-snapshot
ALOHA: A Unified Platform-Aware Evaluation Method for CNNs Execution on Heterogeneous Systems at the Edge
inferred← citeshttps://doi.org/10.1109/aiccsa59173.2023.10479315openalex-snapshot
PyTorch and CEDR: Enabling Deployment of Machine Learning Models on Heterogeneous Computing Systems
inferred← citeshttps://doi.org/10.1109/isqed48828.2020.9137013openalex-snapshot
CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator
inferred← citeshttps://doi.org/10.1109/isqed48828.2020.9137056openalex-snapshot
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection
inferred← citeshttps://doi.org/10.1109/isvlsi51109.2021.00019openalex-snapshot
Resource and Performance Estimation for CNN Models using Machine Learning
inferred← citeshttps://doi.org/10.1145/3391901openalex-snapshot
EncoDeep
inferred← citeshttps://doi.org/10.1145/3394486.3403105openalex-snapshot
Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System
inferred← citeshttps://doi.org/10.1145/3423136openalex-snapshot
Binary Precision Neural Network Manycore Accelerator
inferred← citeshttps://doi.org/10.1145/3589766openalex-snapshot
Energy-Efficient Approximate Edge Inference Systems
inferred← citeshttps://doi.org/10.23919/csms.2021.0024openalex-snapshot
Real-Time Hybrid Flow Shop Scheduling Approach in Smart Manufacturing Environment
inferred← citeshttps://doi.org/10.3390/app13179490openalex-snapshot
Non-Invasive Intraoral Stand-Alone Tongue Control System Based on RSIC-V Edge Computing
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