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检索条件"机构=High Performance Computing Lab School of Computer Science and Engineering"
486 条 记 录,以下是101-110 订阅
排序:
Implementation of global digital library grid platform using data grid technology
Implementation of global digital library grid platform using...
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作者: Yang, Chao-Tung Ho, Hsin-Chuan Yang, I.-Hsien High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Lizen High School Taichung Taiwan Knowledge and Service Information Corporation Taichung City Taiwan
Since the beginning of the 21st century, knowledge has been accumulating at a tremendous speed. The amount of global books, literature, and data available has increased in astounding quantities. The traditional librar... 详细信息
来源: 评论
Submesh allocation in heterogeneous chip multiprocessors
Submesh allocation in heterogeneous chip multiprocessors
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International Conference on Machine Learning and Cybernetics
作者: Zuo, Qi Qiu, Jing High Performance Embedded Computing Library School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Department of information science and engineering Hebei University of Science and Technology Shijiazhuang 050018 China
Lots of submesh allocation strategies are devised in mesh connected computers. In chip multiprocessors connected by network on chip, submesh allocation is also used to allocate processors. Existing research mainly foc... 详细信息
来源: 评论
Cloud-aware processing of MapReduce-based OLAP applications
Cloud-aware processing of MapReduce-based OLAP applications
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11th Australasian Symposium on Parallel and Distributed computing, AusPDC 2013
作者: Han, Hyuck Lee, Young Choon Choi, Seungmi Yeom, Heon Y. Zomaya, Albert Y. School of Computer Science and Engineering Seoul National University Seoul 151-742 Korea Republic of Centre for Distributed and High Performance Computing School of Information Technologies University of Sydney NSW 2006 Australia
As the volume of data to be processed in a timely manner soars, the scale of computing and storage systems has much trouble keeping up with such a rate of explosive data growth. A hybrid cloud combining two or more cl... 详细信息
来源: 评论
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior  38
Towards Harmless Rawlsian Fairness Regardless of Demographic...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Wang, Xuanqian Li, Jing Tsang, Ivor W. Ong, Yew-Soon School of Computer Science and Engineering Beihang University China Institute of High-Performance Computing Agency for Science Technology and Research Singapore Centre for Frontier AI Research Agency for Science Technology and Research Singapore College of Computing and Data Science Nanyang Technological University Singapore
Due to privacy and security concerns, recent advancements in group fairness advocate for model training regardless of demographic information. However, most methods still require prior knowledge of demographics. In th...
来源: 评论
An effective data locality aware task scheduling method for MapReduce framework in heterogeneous environments
An effective data locality aware task scheduling method for ...
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2011 International Conference on Cloud and Service computing, CSC 2011
作者: Zhang, Xiaohong Feng, Yuhong Feng, Shengzhong Fan, Jianping Ming, Zhong School of Computer Science and Technology Henan Polytechnic University Jiaozuo 454000 China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China National High Performance Computing Center at Shenzhen Shenzhen 518055 China
Data locality has recently been extensively exploited in Cloud computing to improve system performance. However, when schedule Map tasks in Hadoop MapReduce framework working in a heterogeneous environment, existing m... 详细信息
来源: 评论
PEPC: Parallel and Extensible PC Implementation for Causal Structure Learning  23
PEPC: Parallel and Extensible PC Implementation for Causal S...
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7th International Conference on high performance Compilation, computing and Communications, HP3C 2023
作者: Feng, Yongquan Xu, Liyang Huang, Wanrong Yang, Wenjing Lu, Yutong Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China
Learning the causal relationships among variables from observational data has been a significant problem in statistics and data mining, and one such algorithm is the PC algorithm. However, the existing CPU-based imple... 详细信息
来源: 评论
Design and implementation of an efficient multi-cluster GridRPC system
Design and implementation of an efficient multi-cluster Grid...
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2005 IEEE International Symposium on Cluster computing and the Grid, CCGrid 2005
作者: Ho, Quoc-Thuan Cai, Wentong Ong, Yew-Soon Institute of High Performance Computing Agency for Science Technology and Research Singapore Science Park II 1 Science Park Road Singapore 117528 Singapore Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore
Multi-cluster Grids have emerged as the most popular type of Grid environments. On multi-cluster Grid, resources are distributed across different networks. Hence, scheduling and dispatching jobs are difficult and inef... 详细信息
来源: 评论
A holistic stream partitioning algorithm for distributed stream processing systems  20
A holistic stream partitioning algorithm for distributed str...
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20th International Conference on Parallel and Distributed computing, Applications and Technologies, PDCAT 2019
作者: Li, Kejian Liu, Gang Lu, Minhua Guangdong Province Key Laboratory of Popular High Performance Computers Guangdong Province Engineering Center of China-made High Performance Data Computing System College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China School of Biomedical Engineering Shenzhen University Shenzhen518060 China
The performances of modern distributed stream processing systems are critically affected by the distribution of the load across workers. Skewed data streams in real world are very common and pose a great challenge to ... 详细信息
来源: 评论
Grid-based PSE for engineering of Materials (GPEM)  07
Grid-based PSE for Engineering of Materials (GPEM)
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7th IEEE International Symposium on Cluster computing and the Grid, CCGrid 2007
作者: Salahuddin, Mohamed Hung, Terence Soh, Harold Sulaiman, Endang Soon, Ong Yew Sung, Lee Bu Yunxia, Ren Institute of High Performance Computing Singapore Science Park II 1 Science Park Rd Singapore 117528 Singapore Nanyang Technological University School of Computer Engineering Nanyang Avenue Singapore 639798 Singapore
The design and engineering of complex materials and products often requires intricate interactions between domain experts in science, material and engineering as well as the utilization of diverse software systems for... 详细信息
来源: 评论
PancakeFS: A Write Efficiently and Read Optimized Filesystem  4
PancakeFS: A Write Efficiently and Read Optimized Filesystem
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4th International Conference on Consumer Electronics and computer engineering, ICCECE 2024
作者: Wang, Yongkang Liu, Yang Chen, Zhiguang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Institute for Quantum Information College of Computer National University of Defense Technology State Key Laboratory of High-Performance Computing Changsha China
With the development of emerging technologies such as cloud computing and large AI models (such as LLM), many applications have placed higher demands on the intensive read and write processing of massive data. Address... 详细信息
来源: 评论