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- Chinese Academy of SciencesCN264 papers
- University of Chinese Academy of SciencesCN114 papers
- University of Science and Technology of ChinaCN18 papers
- Peking UniversityCN14 papers
- Tencent (China)CN13 papers
- Beihang UniversityCN10 papers
- National University of SingaporeSG10 papers
- Tsinghua UniversityCN10 papers
- Microsoft Research Asia (China)CN8 papers
- Peng Cheng LaboratoryCN8 papers
- Institute of Information EngineeringCN6 papers
- Lenovo (China)CN6 papers
7 papers · 1 filter
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search
Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas +2
This paper presents Odyssey, a novel distributed data-series processing framework that efficiently addresses the critical challenges of exhibiting good speedup and ensuring high sc…
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs
Xueying Wang, Guangli Li, Xiao Dong +3
Accelerating the deep learning inference is very important for real-time applications. In this paper, we propose a novel method to fuse the layers of convolutional neural networks…
Characterizing and Understanding GCNs on GPU
Mingyu Yan, Zhaodong Chen, Lei Deng +4
Graph convolutional neural networks (GCNs) have achieved state-of-the-art performance on graph-structured data analysis. Like traditional neural networks, training and inference of…
HyGCN: A GCN Accelerator with Hybrid Architecture
Mingyu Yan, Lei Deng, Xing Hu +6
In this work, we first characterize the hybrid execution patterns of GCNs on Intel Xeon CPU. Guided by the characterization, we design a GCN accelerator, HyGCN, using a hybrid arch…
A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li +3
Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provi…
SwitchAgg:A Further Step Towards In-Network Computation
Fan Yang, Zhan Wang, Xiaoxiao Ma +2
Many distributed applications adopt a partition/aggregation pattern to achieve high performance and scalability. The aggregation process, which usually takes a large portion of the…