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检索条件"任意字段=International Symposium on Databases in Parallel and Distributed Systems"
9660 条 记 录,以下是131-140 订阅
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Scalable Big Spatial Data Processing with SQL Query Compilation and distributed Morsel-driven parallelism
Scalable Big Spatial Data Processing with SQL Query Compilat...
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2024 IEEE international Conference on Big Data, BigData 2024
作者: Sahni, Rahul Zhang, Xiaozheng Chatterjee, Sudip Ray, Suprio University of New Brunswick Fredericton Canada
The rapid rise in spatial data volumes from diverse sources necessitate efficient spatial data processing capability. Although most relational databases support spatial extensions of SQL query features, they offer lim... 详细信息
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Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline parallelism  23
Redundancy-Free High-Performance Dynamic GNN Training with H...
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32nd international symposium on High-Performance parallel and distributed Computing (HPDC) part of the ACM Federated Computing Research Conference (FCRC)
作者: Xia, Yaqi Zhang, Zheng Wang, Hulin Yang, Donglin Zhou, Xiaobo Cheng, Dazhao Wuhan Univ Sch Comp Sci Wuhan Peoples R China Nvidia Corp Santa Clara CA USA Univ Macau IOTSC Macau Peoples R China
Temporal Graph Neural Networks (TGNNs) extend the success of Graph Neural Networks to dynamic graphs. distributed TGNN training requires efficiently tackling temporal dependency, which often leads to excessive cross-d... 详细信息
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The Internet of Trust: Securing and Transparent Supply Chains with Blockchain and IoT  18
The Internet of Trust: Securing and Transparent Supply Chain...
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18th IEEE international Conference on Advanced Networks and Telecommunications systems, ANTS 2024
作者: Singal, Gaurav Kushwaha, Riti Sharma, Ashish Tewari, Tulika Netaji Subhash University of Technology SMIEEE Computer Science and Engineering Delhi India Bennett University School of Computer Science and Technology Greater Noida India Manipal University Computer Science and Engineering Jaipur India Netaji Subhash University of Technology Computer Science and Engineering Delhi India
In an era where digital commerce continues to burgeon, the conventional supply chain confronts challenges of inefficiency, fraud, and a dearth of transparency. Blockchain, renowned for its decentralized and immutable ... 详细信息
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Efficient distributed Secure Memory with Migratable Merkle Tree  29
Efficient Distributed Secure Memory with Migratable Merkle T...
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29th IEEE international symposium on High-Performance Computer Architecture (HPCA)
作者: Feng, Erhu Du, Dong Xia, Yubin Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China
Hardware-assisted enclaves with memory encryption have been widely adopted in the prevailing architectures, e.g., Intel SGX/TDX, AMD SEV, ARM CCA, etc. However, existing enclave designs fall short in supporting effici... 详细信息
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A Locality-aware Cooperative distributed Memory Caching for parallel Data Analytic Applications  36
A Locality-aware Cooperative Distributed Memory Caching for ...
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Hung, Chia-Ting Chou, Jerry Chen, Ming-Hung Chung, I-Hsin Natl Tsing Hua Univ Comp Sci Dept Hsinchu Taiwan IBM TJ Watson Res Ctr New York NY USA
Memory caching has long been used to fill up the performance gap between processor and disk for reducing the data access time of data-intensive computations. Previous studies on caching mostly focus on optimizing the ... 详细信息
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Compiler -Driven SWAR parallelism for High -Performance Bitboard Algorithms
Compiler -Driven SWAR Parallelism for High -Performance Bitb...
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1st international Conference on Smart Energy systems and Artificial Intelligence (SESAI)
作者: Fey, Florian Gorlatch, Sergei Univ Munster Munster Germany
parallel high-performance computing relies on cache -efficient, branch-free algorithms that are often expressed as imperative computations over multi-dimensional arrays. Numerous problem domains, spanning from image p... 详细信息
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Moving from Composable to Programmable  36
Moving from Composable to Programmable
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Chen, Zhongyi Renambot, Luc Long, Lance Brown, Maxine Johnson, Andrew E. Univ Illinois Elect Visualizat Lab Comp Sci Chicago IL 60607 USA
In today's Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the rate of scientific progress. These scientists often rely on available c... 详细信息
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parallel Maximum Cardinality Matching for General Graphs on GPUs
Parallel Maximum Cardinality Matching for General Graphs on ...
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1st international Conference on Smart Energy systems and Artificial Intelligence (SESAI)
作者: Schwing, Gregory Grosu, Daniel Schwiebert, Loren Wayne State Univ Dept Comp Sci Detroit MI 48202 USA
The matching problem formulated as Maximum Cardinality Matching in General Graphs (MCMGG) finds the largest matching on graphs without restrictions. The Micah-Vazirani algorithm has the best asymptotic complexity for ... 详细信息
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RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern distributed Storage systems  36
RLRP: High-Efficient Data Placement with Reinforcement Learn...
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Lu, Kai Zhao, Nannan Wan, Jiguang Fei, Changhong Zhao, Wei Deng, Tongliang Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Wuhan Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China SenseTime Res Shenzhen Peoples R China
Modern distributed storage systems with massive data and storage nodes pose higher requirements to the data placement strategy. Furthermore, with emerged new storage devices, heterogeneous storage architecture has bec... 详细信息
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Research on Optimization of Communication Technology Based on Deep Learning  3
Research on Optimization of Communication Technology Based o...
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3rd international Conference on Electronics and Information Technology, EIT 2024
作者: Zhang, Zhaoxiang China Mobile Group Device Co. Ltd BeiJing100053 China
distributed deep learning systems commonly use synchronous data parallelism to train models. However, communication overhead can be costly in distributed environments with limited communication bandwidth. To reduce co... 详细信息
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