Výsledky vyhledávání - key york parallel/distributed algorithms

  1. 1

    Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning Autor Shi, Shaohuai, Chu, Xiaowen, Li, Bo

    ISSN: 2641-9874
    Vydáno: IEEE 10.05.2021
    “…) is a key ingredient to improve communication efficiency. However, existing tensor fusion techniques schedule the communication tasks sequentially, which overlooks their independence nature…”
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  2. 2

    Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands Autor Juan, Angel A., Faulin, Javier, Jorba, Josep, Caceres, Jose, Marquès, Joan Manuel

    ISSN: 0254-5330, 1572-9338
    Vydáno: Boston Springer US 01.08.2013
    Vydáno v Annals of operations research (01.08.2013)
    “… Thus, for a given VRPSD instance, our algorithm considers different levels of safety stocks…”
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  3. 3

    Parallel distributed numerical simulations in aeronautic applications Autor Alléon, G., Champagneux, S., Chevalier, G., Giraud, L., Sylvand, G.

    ISSN: 0307-904X
    Vydáno: Elsevier Inc 01.08.2006
    Vydáno v Applied mathematical modelling (01.08.2006)
    “…The numerical simulation plays a key role in industrial design because it enables to reduce the time and the cost to develop new products…”
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  4. 4

    Performance evaluation of modern broadwell architecture of a parallel & distributed microprocessor Autor Saeed, Kanwal, Raja, Gulistan

    Vydáno: IEEE 01.11.2017
    “… The key simulation prospects and features which need to be enhanced in the future products of the low power microprocessor family have been identified. Simulation results show that the low clock frequency processors provide both efficient processing capabilities along with reduced power consumption, after we compared them with a high clock frequency microprocessor…”
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  5. 5

    A Latency-Hiding Algorithm for ABMS on Parallel/Distributed Computing Environment Autor Li-li Chen, Jian-xin Huang, Jing Zhang

    ISBN: 9781467317979, 1467317977
    ISSN: 1087-4097
    Vydáno: IEEE 01.07.2012
    “…) on parallel/distributed computing platform is proposed. The key idea of this algorithm is using redundant computations to hide communication latencies…”
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  6. 6

    Specification and analysis of parallel/distributed software and systems by Petri nets with transition enabling functions Autor Papelis, Y.E., Casavant, T.L.

    ISSN: 0098-5589, 1939-3520
    Vydáno: New York, NY IEEE 01.03.1992
    “…An approach for visually specifying parallel/distributed software using Petri nets (PNs…”
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  7. 7

    Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics Autor Perafan-Villota, Juan C., Mondragon, Oscar H., Mayor-Toro, Walter M.

    ISSN: 1524-9050, 1558-0016
    Vydáno: New York IEEE 01.08.2022
    “… Computer vision can be used in combination with parallel distributed systems to provide city authorities tools for automatic and fast processing of stored videos to determine the most significant…”
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  8. 8

    Distributed dictionary learning for industrial process monitoring with big data Autor Huang, Keke, Wei, Ke, Li, Yonggang, Yang, Chunhua

    ISSN: 0924-669X, 1573-7497
    Vydáno: New York Springer US 01.11.2021
    “… Therefore, this paper proposes a distributed dictionary learning algorithm based on the MapReduce framework…”
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  9. 9

    Data Analysis-Oriented Stochastic Scheduling for Cost Efficient Resource Allocation in NFV Based MEC Network Autor Li, Baozhu, Hou, Fen, Yang, Gangqiang, Zhao, Hui, Chen, Shanzhi

    ISSN: 0018-9545, 1939-9359
    Vydáno: New York IEEE 01.05.2023
    “… Data sets with a parallel, distributed algorithm on a cluster. Due to limited resource configuration, it is hard for end users to deal with computing-intensive data analysis tasks by themselves…”
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  10. 10

    Massively-parallel Lagrangian particle code and applications Autor Yuan, Shaohua, Aguilar, Mario Zepeda, Naitlho, Nizar, Samulyak, Roman

    ISSN: 0093-6413
    Vydáno: United States Elsevier 27.02.2023
    Vydáno v Mechanics research communications (27.02.2023)
    “…Massively-parallel, distributed-memory algorithms for the Lagrangian particle hydrodynamic method (Samulyak et al., 2018…”
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  11. 11

    Scalable distributed data cube computation for large-scale multidimensional data analysis on a Spark cluster Autor Lee, Suan, Kang, Seok, Kim, Jinho, Yu, Eun Jung

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.01.2019
    Vydáno v Cluster computing (01.01.2019)
    “… However, MapReduce incurs the overhead of disk I/Os and network traffic. To overcome these MapReduce limitations, Spark was recently proposed as a memory-based parallel/distributed processing framework…”
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  12. 12

    Parallel Lasso for Large-Scale Video Concept Detection Autor Geng, Bo, Li, Yangxi, Tao, Dacheng, Wang, Meng, Zha, Zheng-Jun, Xu, Chao

    ISSN: 1520-9210, 1941-0077
    Vydáno: New York, NY IEEE 01.02.2012
    Vydáno v IEEE transactions on multimedia (01.02.2012)
    “… In this paper, we propose parallel lasso (Plasso) by introducing the parallel distributed computation to significantly improve the scalability of lasso…”
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  13. 13

    Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support Autor Nicolae, Bogdan

    ISSN: 1530-2075
    Vydáno: IEEE 01.05.2022
    “…Ordered key-value stores (or sorted maps/dictionaries) are a fundamental building block in a large variety of both sequential and parallel/distributed algorithms…”
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  14. 14

    Energy Efficient Access Selection Algorithm using Cognitive Wireless Sensor Networks Autor Kalpana, S., Gunasundari, R.

    Vydáno: IEEE 25.03.2022
    “… In parallel, distributed learning automation protocol used in access selection algorithm improves the signal strength, finds the best path with enhanced network life time along with minimum energy consumption…”
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  15. 15

    Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications Autor Nojima, Yusuke, Arahari, Koki, Takemura, Shuji, Ishibuchi, Hisao

    ISSN: 1558-4739
    Vydáno: IEEE 01.07.2017
    “… MOEA/D is one of the most well-known decomposition-based EMO algorithms. The key idea is to divide a multiobjective optimization problem into a number of single…”
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  16. 16

    Efficient Anytime Anywhere Algorithms for Closeness Centrality in Large and Dynamic Graphs Autor Santos, Eunice E., Korah, John, Murugappan, Vairavan, Subramanian, Suresh

    Vydáno: IEEE 01.05.2016
    “… (evolving at different rates) networks have focused on leveraging new high performance architectures, parallel/distributed tools and novel data structures…”
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    An empirical performance evaluation of a parameter-free genetic algorithm for job-shop scheduling problem Autor Matsui, S., Yamada, S.

    ISBN: 1424413397, 9781424413393
    ISSN: 1089-778X
    Vydáno: IEEE 01.09.2007
    “… Several GA-based approaches have been reported for the JSSP. Among them, there is a parameter-free genetic algorithm (PfGA…”
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  19. 19

    A Music Recommendation System based on Melody Creation by Interactive GA Autor Yamaguchi, Genki, Fukumoto, Makoto

    Vydáno: IEEE 01.07.2019
    “… In the proposed method of this study, first, we create a melody for each user using Interactive Genetic Algorithm (IGA…”
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  20. 20

    GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption Autor Fan, Kai, Zhang, Chaoyu, Shan, Ruiwen, Yu, Hexuan, Jiang, Hai

    Vydáno: IEEE 01.07.2019
    “… However, traditional cryptography has some major limitations. For example, public key cryptography is not scalable in cases with many clients…”
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