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检索条件"机构=The Distributed and Parallel Software Lab"
207 条 记 录,以下是131-140 订阅
排序:
Mathematical Modeling of Transaction Latency on Ethereum  12
Mathematical Modeling of Transaction Latency on Ethereum
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12th IEEE International Conference on Joint Cloud Computing (IEEE JCC) / 9th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE MobileCloud)
作者: Guo, Jinyan Jiang, Zigui Li, Li Bian, Jing Sun Yat Sen Univ Sch Math Guangzhou 510006 Peoples R China Sun Yat Sen Univ Sch Software Engn Guangzhou 510006 Peoples R China Guangdong Inst Sci & Technol Informat Guangzhou 510030 Peoples R China Parallel & Distributed Proc Lab PDL Sci & Technol Changsha 410073 Peoples R China
Applications on blockchain are currently limited by the relatively poor performance of the blockchain network such as low TPS, high latency and the resulting high transaction fees. Hence, performance optimization is o... 详细信息
来源: 评论
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons
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INFORMATION SCIENCES 2023年 第1期637卷
作者: Jin, Haibo Chen, Ruoxi Zheng, Haibin Chen, Jinyin Cheng, Yao Yu, Yue Chen, Tieming Liu, Xianglong Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China Zhejiang Univ Technol Inst Cyberspace Secur Hangzhou Peoples R China Huawei Int Singapore Singapore Natl Univ Def Technol Coll Comp Natl Lab Parallel & Distributed Proc Changsha Peoples R China Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou Peoples R China Beihang Univ State Key Lab Software Dev Environm Beijing Peoples R China
Despite impressive capabilities and outstanding performance, deep neural networks (DNNs) have become a growing concern among the public due to their frequently-appearing erroneous behaviors. As a result, it is urgent ... 详细信息
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PPSS: A Privacy-Preserving Supervision Scheme Based on Blockchain
PPSS: A Privacy-Preserving Supervision Scheme Based on Block...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Ming Chen Peichang Shi Xiang Fu Feng Jiang Fei Gao Penghui Ma Jinzhu Kong National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems College of Computer Science National University of Defense Technology Changsha China Kylin Software Co.LTD Changsha China Zhejiang Lab Hangzhou China
In JointCloud Computing, multi-party participation introduces complexity and uncertainty. For all participants in JointCloud Computing, both continuous supervision and necessary privacy protection are required. Tradit... 详细信息
来源: 评论
distributed and parallel Sparse Computing for Very Large Graph Neural Networks
Distributed and Parallel Sparse Computing for Very Large Gra...
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IEEE International Conference on Big Data
作者: Quentin R. Petit Chong Li Nahid Emad Huawei Paris Research Center & Université Paris-Saclay Boulogne-Billancourt France Distributed and Parallel Software Lab Huawei Paris Research Center Boulogne-Billancourt France Maison de la Simulation & LI-PaRAD Université Versailles Saint-Quentin Saclay France
Deep learning (DL) requires high-performance processing on big data. Graph Neural Networks, a challenging topic in DL using linear algebra methods, need algorithmic solutions to efficiently assign and process graph da... 详细信息
来源: 评论
Feature and Performance Comparison of FaaS Platforms
Feature and Performance Comparison of FaaS Platforms
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IEEE International Conference on software Engineering and Service Sciences (ICSESS)
作者: Penghui Ma Peichang Shi Guodong Yi National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems College of Computer Science National University of Defense Technology Changsha China Xiangjiang Lab Changsha China School of Advanced Interdisciplinary Studies Hunan University Of Technology and Business Changsha China
With serverless computing offering more efficient and cost-effective application deployment, the diversity of serverless platforms presents challenges to users, including platform lock-in and costly migration. Moreove...
来源: 评论
Large-scale homo- and heterogeneous parallel paradigm design based on CFD application PHengLEI
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2024年 第5期36卷 e7933-e7933页
作者: Wan, Yunbo Zhao, Zhong Liu, Jie Zhang, Laiping Zhang, Yong Chen, Jianqiang Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China China Aerodynam Res & Dev Ctr Computat Aerodynam Inst Mianyang Peoples R China Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha Peoples R China Natl Univ Def Technol Lab Software Engn Complex Syst Changsha Peoples R China Natl Innovat Inst Def Technol Unmanned Syst Res Ctr Beijing Peoples R China China Aerodynam Res & Dev Ctr Computat Aerodynam Inst Mianyang 621000 Peoples R China
The development of computational fluid dynamics (CFD) highly depends on high-performance computers. Computer hardware has evolved rapidly, yet scalable CFD parallel software remains scarce. In this article, we design ... 详细信息
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A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks  20
A Framework for Recommending Accurate and Diverse Items Usin...
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26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
作者: Sun, Jianing Guo, Wei Zhang, Dengcheng Zhang, Yingxue Regol, Florence Hu, Yaochen Guo, Huifeng Tang, Ruiming Yuan, Han He, Xiuqiang Coates, Mark Huawei Noahs Ark Lab Montreal Res Ctr Montreal PQ Canada Huawei Noahs Ark Lab Shenzhen Peoples R China Huawei Distributed & Parallel Software Lab Hangzhou Peoples R China McGill Univ Dept Elect & Comp Engn Montreal PQ Canada
Personalized recommender systems are playing an increasingly important role for online consumption platforms. Because of the multitude of relationships existing in recommender systems, Graph Neural Networks (GNNs) bas... 详细信息
来源: 评论
FCloudless: A Performance-Aware Collaborative Mechanism for JointCloud Serverless
FCloudless: A Performance-Aware Collaborative Mechanism for ...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Jianfei Liu Huaimin Wang Peichang Shi Yaojie Li Penghui Ma Guodong Yi National Key Laboratory of Parallel and Distributed Computing College of Computer Science National University of Defense Technology Changsha 410073 China Key Laboratory of Software Engineering for Complex Systems College of Computer Science National University of Defense Technology Changsha 410073 China Xiangjiang Lab Changsha 410073 China School of Advanced Interdisciplinary Studies Hunan University Of Technology and Business Changsha 410073 China
As a new stage in the development of the cloud computing paradigm, serverless computing has the high-level abstraction characteristic of shielding underlying details. This makes it extremely challenging for users to c...
来源: 评论
Contrastive learning of user behavior sequence for context-aware document ranking
arXiv
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arXiv 2021年
作者: Zhu, Yutao Nie, Jian-Yun Dou, Zhicheng Ma, Zhengyi Zhang, Xinyu Du, Pan Zuo, Xiaochen Jiang, Hao Université de Montréal MontréalQC Canada Gaoling School of Artificial Intelligence Renmin University of China Beijing China Distributed and Parallel Software Lab Huawei Zhejiang Hangzhou China
Context information in search sessions has proven to be useful for capturing user search intent. Existing studies explored user behavior sequences in sessions in different ways to enhance query suggestion or document ... 详细信息
来源: 评论
Enhancing Graph Convolutional Networks by Topology Sampling
Enhancing Graph Convolutional Networks by Topology Sampling
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IEEE International Conference on Big Data
作者: Quentin R. Petit Chong Li Serge G. Petiton Kelun Chai Nahid Emad Huawei Paris Research Center & Université Paris-Saclay Boulogne-Billancourt France Distributed and Parallel Software Lab Huawei Paris Research Center Boulogne-Billancourt France Université de Lille Lille France Maison de la Simulation & LI-PaRAD Université Versailles Saint-Quentin Saclay France
Graph Neural Networks (GNNs) play a very important role today. It does analyze not only the graph data itself, but also the data connectivity of the graph. The quality of a GNN is thus altered by the result of extract... 详细信息
来源: 评论