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Titlebook: Algorithms and Architectures for Parallel Processing; 17th International C Shadi Ibrahim,Kim-Kwang Raymond Choo,Witold Pedryc Conference pr

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發(fā)表于 2025-3-21 17:29:59 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithms and Architectures for Parallel Processing
期刊簡稱17th International C
影響因子2023Shadi Ibrahim,Kim-Kwang Raymond Choo,Witold Pedryc
視頻videohttp://file.papertrans.cn/154/153093/153093.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithms and Architectures for Parallel Processing; 17th International C Shadi Ibrahim,Kim-Kwang Raymond Choo,Witold Pedryc Conference pr
影響因子This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017..The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; ?software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation..This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017)., the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).?.
Pindex Conference proceedings 2017
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Der Ingenieur und seine DesignerRouting Protocol for Underwater Wireless Sensor Networks in this paper. The proposed protocol replaces the low-energy nodes with the high-energy nodes by adjusting their depths to achieve balanced energy consumption among the whole network. Experimental results show our scheme effectively improves the lifetime of the whole network.
地板
發(fā)表于 2025-3-22 06:49:23 | 只看該作者
https://doi.org/10.1007/b138631tems to evaluate the performance of our design, especially under heavy traffic pressure. The results show that our scheme can significantly alleviate the road congestion as well as improving the road network throughput and reducing the vehicles delay time.
5#
發(fā)表于 2025-3-22 09:03:13 | 只看該作者
Automatic Acceleration of Stencil Codes in Android Devicesce of these codes has also been measured in order to demonstrate how Paralldroid is able to accelerate code without extensive or complex modifications. Results show great performance improvements for few code modifications.
6#
發(fā)表于 2025-3-22 14:49:54 | 只看該作者
Energy-Balanced and Depth-Controlled Routing Protocol for Underwater Wireless Sensor NetworksRouting Protocol for Underwater Wireless Sensor Networks in this paper. The proposed protocol replaces the low-energy nodes with the high-energy nodes by adjusting their depths to achieve balanced energy consumption among the whole network. Experimental results show our scheme effectively improves the lifetime of the whole network.
7#
發(fā)表于 2025-3-22 20:31:16 | 只看該作者
Adaptive Traffic Signal Control with?Network-Wide Coordinationtems to evaluate the performance of our design, especially under heavy traffic pressure. The results show that our scheme can significantly alleviate the road congestion as well as improving the road network throughput and reducing the vehicles delay time.
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發(fā)表于 2025-3-23 00:46:52 | 只看該作者
A. S. Eddington M.A., LL.D., D.Sc., F. R. S.using the MapReduce programming paradigm. Due to this approach, the scalable HALS NMF, which can be implemented on parallel and distributed computer architectures, is obtained. The scalability and efficiency of the proposed algorithm is confirmed in the numerical experiments, performed on large-scale synthetic and recommendation system datasets.
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發(fā)表于 2025-3-23 04:27:33 | 只看該作者
Distributed Nonnegative Matrix Factorization with HALS Algorithm on MapReduceusing the MapReduce programming paradigm. Due to this approach, the scalable HALS NMF, which can be implemented on parallel and distributed computer architectures, is obtained. The scalability and efficiency of the proposed algorithm is confirmed in the numerical experiments, performed on large-scale synthetic and recommendation system datasets.
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發(fā)表于 2025-3-23 08:19:28 | 只看該作者
,Verbot der Rückzahlung von Stammkapital,necks caused when only using a single accelerator. Moreover, compared with the single FPGA execution, the workload balance scheme increases the performance by 236.9% and 42.9% on our two tested platforms respectively, while ensuring the low energy cost.
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