A Survey to Predict the Trend of AI-able Server Evolution in the Cloud
暂无分享,去创建一个
[1] Philip Heng Wai Leong,et al. FINN: A Framework for Fast, Scalable Binarized Neural Network Inference , 2016, FPGA.
[2] Bin Liu,et al. Ternary Weight Networks , 2016, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[3] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[4] Jeffrey Stuecheli,et al. CAPI: A Coherent Accelerator Processor Interface , 2015, IBM J. Res. Dev..
[5] Eriko Nurvitadhi,et al. Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? , 2017, FPGA.
[6] Arto Ojala,et al. Discovering and creating business opportunities for cloud services , 2016, J. Syst. Softw..
[7] Mark Sandler,et al. The Power of Sparsity in Convolutional Neural Networks , 2017, ArXiv.
[8] Andrew Putnam. Large-scale reconfigurable computing in a microsoft datacenter , 2014, 2014 IEEE Hot Chips 26 Symposium (HCS).
[9] Kevin Skadron,et al. A performance study of general-purpose applications on graphics processors using CUDA , 2008, J. Parallel Distributed Comput..
[10] Yu Cao,et al. Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks , 2016, FPGA.
[11] Igor Carron,et al. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016 .
[12] Keke Gai,et al. Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing , 2016, J. Netw. Comput. Appl..
[13] Yao Zheng,et al. DDoS attack protection in the era of cloud computing and Software-Defined Networking , 2015, Comput. Networks.
[14] Wonyong Sung,et al. FPGA based implementation of deep neural networks using on-chip memory only , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[15] Pritish Narayanan,et al. Deep Learning with Limited Numerical Precision , 2015, ICML.
[16] Yangqing Jia,et al. Learning Semantic Image Representations at a Large Scale , 2014 .
[17] Keke Gai,et al. Spoofing-Jamming Attack Strategy Using Optimal Power Distributions in Wireless Smart Grid Networks , 2017, IEEE Transactions on Smart Grid.
[18] Frédéric Pétrot,et al. Ternary neural networks for resource-efficient AI applications , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).
[19] Hassan Foroosh,et al. Sparse Convolutional Neural Networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Philip Heng Wai Leong,et al. Scaling Binarized Neural Networks on Reconfigurable Logic , 2017, PARMA-DITAM '17.
[21] Samuel Greengard,et al. Making chips smarter , 2017, Commun. ACM.
[22] Paris Smaragdis,et al. Bitwise Neural Networks , 2016, ArXiv.
[23] Eric Bonfillou,et al. Experience of public procurement of Open Compute servers , 2015 .
[24] Yao Zheng,et al. DDoS Attack Protection in the Era of Cloud Computing and Software-Defined Networking , 2014, 2014 IEEE 22nd International Conference on Network Protocols.
[25] Luca Benini,et al. YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration , 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[26] Min Chen,et al. SA-EAST , 2017, ACM Trans. Embed. Comput. Syst..
[27] Lin Xu,et al. Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights , 2017, ICLR.
[28] Vivienne Sze,et al. Efficient Processing of Deep Neural Networks: A Tutorial and Survey , 2017, Proceedings of the IEEE.
[29] Luiz André Barroso,et al. Web Search for a Planet: The Google Cluster Architecture , 2003, IEEE Micro.
[30] Vincent Vanhoucke,et al. Improving the speed of neural networks on CPUs , 2011 .
[31] Yoshua Bengio,et al. Neural Networks with Few Multiplications , 2015, ICLR.
[32] Ran El-Yaniv,et al. Binarized Neural Networks , 2016, NIPS.
[33] Eriko Nurvitadhi,et al. Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC , 2016, 2016 International Conference on Field-Programmable Technology (FPT).
[34] Rodney S. Tucker,et al. Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport , 2011, Proceedings of the IEEE.
[35] Keke Gai,et al. Energy-aware task assignment for mobile cyber-enabled applications in heterogeneous cloud computing , 2018, J. Parallel Distributed Comput..
[36] Dimitrios Soudris,et al. A survey on reconfigurable accelerators for cloud computing , 2016, 2016 26th International Conference on Field Programmable Logic and Applications (FPL).
[37] Kevin Skadron,et al. Accelerating Compute-Intensive Applications with GPUs and FPGAs , 2008, 2008 Symposium on Application Specific Processors.
[38] David A. Patterson,et al. In-datacenter performance analysis of a tensor processing unit , 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).