Optimising Resource Management for Embedded Machine Learning
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Long Tran-Thanh | Geoff V. Merrett | Lei Xun | Bashir M Al-Hashimi | Long Tran-Thanh | B. Al-Hashimi | G. Merrett | Lei Xun
[1] Chenchen Liu,et al. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device , 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).
[2] Vivienne Sze,et al. Efficient Processing of Deep Neural Networks: A Tutorial and Survey , 2017, Proceedings of the IEEE.
[3] Bo Chen,et al. NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications , 2018, ECCV.
[4] Gianluca Palermo,et al. Application autotuning to support runtime adaptivity in multicore architectures , 2015, 2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS).
[5] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[6] Geoff V. Merrett,et al. Inter-Cluster Thread-to-Core Mapping and DVFS on Heterogeneous Multi-Cores , 2018, IEEE Transactions on Multi-Scale Computing Systems.
[7] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Long Tran-Thanh,et al. Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms , 2019, 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD).
[9] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[10] Song Han,et al. AMC: AutoML for Model Compression and Acceleration on Mobile Devices , 2018, ECCV.
[11] Scott A. Mahlke,et al. Scalpel: Customizing DNN pruning to the underlying hardware parallelism , 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).
[12] David B. Thomas,et al. Heterogeneous Heartbeats: A framework for dynamic management of Autonomous SoCs , 2014, 2014 24th International Conference on Field Programmable Logic and Applications (FPL).
[13] Sungroh Yoon,et al. Big/little deep neural network for ultra low power inference , 2015, 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).
[14] Vivienne Sze,et al. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices , 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[15] Xiao Zeng,et al. NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision , 2018, MobiCom.
[16] Sherief Reda,et al. Runtime configurable deep neural networks for energy-accuracy trade-off , 2016, 2016 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).
[17] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[18] Hanan Samet,et al. Pruning Filters for Efficient ConvNets , 2016, ICLR.
[19] Karunakar Reddy Basireddy,et al. Dataset for An Application- and Platform-agnostic Control and Monitoring Framework for Multicore Systems , 2018 .
[20] Jiwen Lu,et al. Runtime Neural Pruning , 2017, NIPS.
[21] Bryan Donyanavard,et al. SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management , 2019, MICRO.
[22] Ninghui Sun,et al. DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning , 2014, ASPLOS.
[23] Bharadwaj Veeravalli,et al. Reinforcement learning-based inter- and intra-application thermal optimization for lifetime improvement of multicore systems , 2014, 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC).
[24] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[25] Axel Jantsch,et al. Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[26] Joel Emer,et al. Eyeriss: a spatial architecture for energy-efficient dataflow for convolutional neural networks , 2016, CARN.
[27] Song Han,et al. EIE: Efficient Inference Engine on Compressed Deep Neural Network , 2016, 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).