Suchergebnisse - Parallel and distributed computing devices

  1. 1

    Dynamic threshold spiking neural P systems with weights and multiple channels von Li, Yanyan, Song, Bosheng, Liu, Yuansheng, Zeng, Xiangxiang, Huang, Shengye

    ISSN: 0304-3975, 1879-2294
    Veröffentlicht: Elsevier B.V 27.09.2024
    Veröffentlicht in Theoretical computer science (27.09.2024)
    “… Membrane computing represents a sophisticated branch of computational science that assimilates the characteristics of cellular membranes and harnesses mathematical principles …”
    Volltext
    Journal Article
  2. 2

    Hands-on parallel & distributed computing with Raspberry Pi devices and clusters von Shoop, Elizabeth, Matthews, Suzanne J., Brown, Richard, Adams, Joel C.

    ISSN: 0743-7315
    Veröffentlicht: Elsevier Inc 01.02.2025
    Veröffentlicht in Journal of parallel and distributed computing (01.02.2025)
    “… Parallel and distributed computing (PDC) concepts are now required topics for accredited undergraduate computer science programs …”
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    Journal Article
  3. 3

    Distributed calculation method for large-pixel-number holograms by decomposition of object and hologram planes von Jackin, Boaz Jessie, Miyata, Hiroaki, Ohkawa, Takeshi, Ootsu, Kanemitsu, Yokota, Takashi, Hayasaki, Yoshio, Yatagai, Toyohiko, Baba, Takanobu

    ISSN: 1539-4794, 1539-4794
    Veröffentlicht: United States 15.12.2014
    Veröffentlicht in Optics letters (15.12.2014)
    “… ) calculations on parallel and distributed computing devices. The method uses the shifting property of Fourier transform to decompose calculations, thereby avoiding data dependency and communication …”
    Weitere Angaben
    Journal Article
  4. 4

    Delay-Optimal Distributed Edge Computing in Wireless Edge Networks von Gong, Xiaowen

    ISSN: 2641-9874
    Veröffentlicht: IEEE 01.07.2020
    “… ) makes use of distributed devices in edge networks to perform computing in parallel, which can substantially reduce service delays …”
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    Tagungsbericht
  5. 5

    Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing von Li, Yuchen, Liang, Weifa, Li, Jing, Cheng, Xiuzhen, Yu, Dongxiao, Zomaya, Albert Y., Guo, Song

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.07.2023
    “… To perform efficient and effective DNN model training in edge computing environments while preserving training data security and privacy of IoT devices, federated learning has been envisioned …”
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    Journal Article
  6. 6

    Paralfetch: Fast Application Launch on Personal Computing/Communication Devices von Ryu, Junhee, Lee, Dongeun, Shin, Kang G., Kang, Kyungtae

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: IEEE 01.04.2025
    “… Paralfetch speeds up application launches on personal computing/communication devices, by means of: 1 …”
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    Journal Article
  7. 7

    On the design of communication-aware fault-tolerant scheduling algorithms for precedence constrained tasks in grid computing systems with dedicated communication devices von Zheng, Qin, Veeravalli, Bharadwaj

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Amsterdam Elsevier Inc 01.03.2009
    Veröffentlicht in Journal of parallel and distributed computing (01.03.2009)
    “… Fault-tolerant scheduling is an imperative step for large-scale computational Grid systems, as often geographically distributed nodes co-operate to execute a task …”
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    Journal Article
  8. 8

    Robust orchestration of concurrent application workflows in mobile device clouds von Pandey, Parul, Viswanathan, Hariharasudhan, Pompili, Dario

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.10.2018
    Veröffentlicht in Journal of parallel and distributed computing (01.10.2018)
    “… To support concurrent mobile applications on the device cloud, a robust distributed computing framework, called Maestro, is proposed …”
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    Journal Article
  9. 9

    Research on computing task scheduling method for distributed heterogeneous parallel systems von Cao, Xianzhi, Chen, Chong, Li, Shiwei, Lv, Chang, Li, Jiali, Wang, Jian

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: England Nature Publishing Group 15.03.2025
    Veröffentlicht in Scientific reports (15.03.2025)
    “… With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms …”
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    Journal Article
  10. 10

    An efficient conference key agreement protocol suited for resource constrained devices von Pundir, Manmohan, Kumar, Abhimanyu

    ISSN: 0743-7315
    Veröffentlicht: Elsevier Inc 01.02.2025
    Veröffentlicht in Journal of parallel and distributed computing (01.02.2025)
    “… While elliptic curve cryptography (ECC) offers efficiency and strong security, ECC-based CKA protocols often rely on expensive pairings, making them computationally impractical for deployment over the resource limited devices …”
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    Journal Article
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    Parallel Execution of API Calls Using Local Memory of Distributed Computing Devices

    Veröffentlicht: Washington, D.C Targeted News Service 22.08.2023
    Veröffentlicht in Targeted News Service (22.08.2023)
    Volltext
    Newsletter
  13. 13

    EdgeMesh: A hybrid distributed training mechanism for heterogeneous edge devices von Xu, Fei, Feng, Jianqiang, Zhang, Zhuoya, Ning, Linpeng, Jia, Yuxi

    ISSN: 2161-3915, 2161-3915
    Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 01.03.2023
    “… ‐parallel distributed training mechanisms frequently fail to fully utilize the computing power of edge devices, network topology and bandwidth resources …”
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    Journal Article
  14. 14

    QoS provisioning of a task-scheduling algorithm for lightweight devices von Kim, Seungku

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.09.2017
    Veröffentlicht in Journal of parallel and distributed computing (01.09.2017)
    “… Thus, we present a heuristic method to predict the burst time of each task and a round-robin-based weighted scheduling algorithm providing QoS to real-time tasks for lightweight devices …”
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    Journal Article
  15. 15

    Asynchronous spiking neural P systems with local synchronization von Song, Tao, Pan, Linqiang, Păun, Gheorghe

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 10.01.2013
    Veröffentlicht in Information sciences (10.01.2013)
    “… Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes …”
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    Journal Article
  16. 16

    Real-time pneumonia prediction using pipelined spark and high-performance computing von Ravikumar, Aswathy, Sriraman, Harini

    ISSN: 2376-5992, 2376-5992
    Veröffentlicht: United States PeerJ. Ltd 09.03.2023
    Veröffentlicht in PeerJ. Computer science (09.03.2023)
    “… Pneumonia is a respiratory disease caused by bacteria; it affects many people, particularly in impoverished countries where pollution, unclean living …”
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    Journal Article
  17. 17

    Energy-efficient online resource provisioning for cloud-edge platforms via multi-armed bandits von Rey-Jouanchicot, Jordan, Lorenzo Del Castillo, Juan Angel, Zuckerman, Stephane, Belmega, E. Veronica

    Veröffentlicht: IEEE 01.11.2022
    “… Aggregating the idle CPU cycles of several devices would allow performing on-site parallel and distributed computing, while reusing the available resources in the network …”
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    Tagungsbericht
  18. 18

    A novel blockchain-based and proxy-oriented public audit scheme for low performance terminal devices von Xie, Mande, Zhao, Qiting, Hong, Haibo, Chen, Chen, Yu, Jun

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.11.2022
    Veröffentlicht in Journal of parallel and distributed computing (01.11.2022)
    “… While in practice, the terminal devices probably are mobile phones, tablets and other devices with low computing power …”
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    Journal Article
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    On languages generated by spiking neural P systems with weights von Zeng, Xiangxiang, Xu, Lei, Liu, Xiangrong, Pan, Linqiang

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 10.09.2014
    Veröffentlicht in Information sciences (10.09.2014)
    “… Spiking neural P systems with weights (WSN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes …”
    Volltext
    Journal Article