Search Results - Multi-process parallel computation

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  1. 1

    Training-efficient and cost-optimal energy management for fuel cell hybrid electric bus based on a novel distributed deep reinforcement learning framework by Huang, Ruchen, He, Hongwen, Gao, Miaojue

    ISSN: 0306-2619, 1872-9118
    Published: Elsevier Ltd 15.09.2023
    Published in Applied energy (15.09.2023)
    “…•An A3C-based EMS is proposed to reduce the total operation cost of the FCHEB.•Multi-process parallel computation is employed to achieve the A3C-based EMS…”
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    Journal Article
  2. 2

    Dynamic Analysis Method for Concurrency Bugs in Multi-process/Multi-thread Environments by Park, Jihyun, Choi, Byoungju, Jang, Seungyeun

    ISSN: 0885-7458, 1573-7640
    Published: New York Springer US 01.12.2020
    “…In this paper, we propose a method of analyzing the types and causes of concurrency bugs that can occur in multi-process/multi-thread environments by analyzing the information gathered in the execution environment…”
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    Journal Article
  3. 3

    CoSim: A coupled simulator for multi-process, multi-phase, and multi-scale analysis by Xu, Wenjie, Zhou, Qian, Feng, Zekang, Zhang, Yangyang, Wang, Junhao, Chen, Yongzhi, Ouyang, Penghao

    ISSN: 1672-2132
    Published: Nanjing Zhongguo Zaihai Fangyu Xiehui 01.03.2025
    Published in Fangzai Jianzai Gongcheng Xuebao (01.03.2025)
    “…Multi-process, multi-phase, and multi-scale ("3M") problems are common and pressing challenges faced by nature, industry, and engineering…”
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    Journal Article
  4. 4

    Cloud Computing Load Prediction Method Based on Hybrid Model of CEEMDAN-ConvLSTM by Zaho, Peng, Zhou, Jiantao, Zhao, Darning

    ISSN: 1002-137X
    Published: Chongqing Guojia Kexue Jishu Bu 01.01.2023
    Published in Ji suan ji ke xue (01.01.2023)
    “…With the rapid development of cloud computing technology, more and more users choose to use cloud services, and the problem of mismatch between load requests…”
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    Journal Article
  5. 5

    Multicore in production: advantages and limits of the multi-process approach in the ATLAS experiment by Binet, S, Calafiura, P, Jha, M K, Lavrijsen, W, Leggett, C, Lesny, D, Severini, H, Smith, D, Snyder, S, Tatarkhanov, M, Tsulaia, V, VanGemmeren, P, Washbrook, A

    ISSN: 1742-6588, 1742-6596
    Published: 01.01.2012
    Published in Journal of physics. Conference series (01.01.2012)
    “… ATLAS pioneered the multi-process approach to parallelize HEP applications. Using Linux fork() and the Copy On Write mechanism we implemented a simple event task farm, which allowed us to achieve sharing of almost 80…”
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    Journal Article
  6. 6

    CODC-pyParaQC: A design and implementation of parallel quality control for ocean observation big data by Yuan, Huifeng, Li, Tianyan, Jin, Zhong, Cheng, Lijing, Tan, Zhetao, Zhang, Bin, Wang, Yanjun

    ISSN: 2158-9208
    Published: IEEE 30.10.2024
    “… the feasibility of a large-scale parallel computation of the quality control scheme and realizing…”
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    Conference Proceeding
  7. 7

    Accelerating Multi - Process Communication for Parallel 3-D FFT by Ayala, Alan, Tomov, Stan, Stoyanov, Miroslav, Haidar, Azzam, Dongarra, Jack

    Published: IEEE 01.11.2021
    Published in 2021 Workshop on Exascale MPI (ExaMPI) (01.11.2021)
    “… In this paper, we present techniques for speeding up multi-process communication cost during the computation of FFTs, considering hybrid network connections as those expected on upcoming exascale machines…”
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    Conference Proceeding
  8. 8

    Optimization of Light-Front Hamiltonian Generation for Domestic Heterogeneous Platforms by Han, Yumeng, Tao, Chenbo, Liu, Jie, Xu, Siqi, Zhao, Xingbo, Wu, Peng, Han, Mengzhi, Cao, Wudi

    Published: IEEE 09.05.2025
    “… This scheme integrates a two-level parallel strategy that combines MPI-based multi-process parallelism with GPU-like multithreaded parallelism, offloading intensive computations…”
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    Conference Proceeding
  9. 9

    A scalable two-stage model for real-time Wetland bird recognition by Xia, Wenyuan, Zhou, Qing, Wu, Dayu, Wang, Siyuan, Zhou, Mengshuang

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Published: New York Springer Nature B.V 08.03.2025
    Published in The Journal of supercomputing (08.03.2025)
    “… similarity among bird species. Moreover, a bird recognition server needs to perform computation-intensive tasks of multi-process parallel inferences, requiring a low inference latency of the bird recognition algorithm…”
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    Journal Article
  10. 10

    Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model by Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 06.02.2019
    Published in The Journal of supercomputing (06.02.2019)
    “…The computing of distributed hydrological model at large scale is increasingly characterized by data intensive and computation intensive, especially for the multi-process coupling model…”
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    Journal Article
  11. 11

    A scalable two-stage model for real-time Wetland bird recognition: A scalable two-stage model by Xia, Wenyuan, Zhou, Qing, Wu, Dayu, Wang, Siyuan, Zhou, Mengshuang

    ISSN: 1573-0484
    Published: New York Springer US 08.03.2025
    Published in The Journal of supercomputing (08.03.2025)
    “… similarity among bird species. Moreover, a bird recognition server needs to perform computation-intensive tasks of multi-process parallel inferences, requiring a low inference latency of the bird recognition algorithm…”
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    Journal Article
  12. 12

    Performance Characterization of Python Runtimes for Multi-device Task Parallel Programming by Ruys, William, Lee, Hochan, You, Bozhi, Talati, Shreya, Park, Jaeyoung, Almgren-Bell, James, Yan, Yineng, Fernando, Milinda, Erez, Mattan, Gligoric, Milos, Burtscher, Martin, Rossbach, Christopher J., Pingali, Keshav, Biros, George

    ISSN: 0885-7458, 1573-7640
    Published: New York Springer US 01.04.2025
    “…Modern Python programs in high-performance computing call into compiled libraries and kernels for performance-critical tasks. However, effectively…”
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    Journal Article
  13. 13

    Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process by Fan, Xin, Sang, Hongyan, Tian, Mengxi, Yu, Yang, Chen, Song

    ISSN: 2210-6502
    Published: Elsevier B.V 01.04.2025
    Published in Swarm and evolutionary computation (01.04.2025)
    “…In modern manufacturing workshops, parallel machine scheduling and automated guided vehicle (AGV…”
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    Journal Article
  14. 14

    Maximizing GPU Parallelism for a High-performance Cryptanalysis System by Kim, Sangyub, Shin, Youngjoo

    ISSN: 2996-1580
    Published: IEEE 15.01.2025
    “… For this, previous works utilized NVIDIA's technologies such as Hyper-Q, Multi-Process Service (MPS), and Multi-Instance GPU…”
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    Conference Proceeding
  15. 15

    Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales by Gamell, Marc, Teranishi, Keita, Mayo, Jackson, Kolla, Hemanth, Heroux, Michael A., Chen, Jacqueline, Parashar, Manish

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.10.2017
    “…Obtaining multi-process hard failure resilience at the application level is a key challenge that must be overcome before the promise of exascale can be fully realized…”
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    Journal Article
  16. 16

    MP-GAN: Cyber-Attack Detection and Localization for Cyber-Physical Systems with Multi-Process Generative Adversarial Networks by Zhou, Yikui, Wang, Jie, Tang, Junnan, Gou, Chao, Jiang, Zigui, Li, Dan, Ng, See-Kiong

    Published: IEEE 19.10.2023
    “… However, the multi-process essence of CPS has not been adequately addressed in existing works to locate the processes or points being attacked for in-time actions…”
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    Conference Proceeding
  17. 17

    Large-scale time-harmonic electromagnetic field analysis using a multigrid solver on a distributed memory parallel computer by Iwashita, Takeshi, Hirotani, Yu, Mifune, Takeshi, Murayama, Toshio, Ohtani, Hideki

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.09.2012
    Published in Parallel computing (01.09.2012)
    “… ► The proposed method attains 2.7-fold speedup compared with multi-color ordering. ► The proposed method effectively utilizes multi process and thread parallel processing…”
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    Journal Article
  18. 18

    Decomposing Software Verification using Distributed Summary Synthesis by Beyer, Dirk, Kettl, Matthias, Lemberger, Thomas

    ISSN: 2994-970X, 2994-970X
    Published: New York, NY, USA ACM 12.07.2024
    “…There are many approaches for automated software verification, but they are either imprecise, do not scale well to large systems, or do not sufficiently…”
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    Journal Article
  19. 19

    ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments by Lee, Munkyu, Seong, Sihoon, Kang, Minki, Lee, Jihyuk, Na, Gap-Joo, Chun, In-Geol, Nikolopoulos, Dimitrios, Hong, Cheol-Ho

    Published: IEEE 17.11.2024
    “… ParvaGPU integrates NVIDIA's Multi-Instance GPU (MIG) and Multi-Process Service (MPS) technologies to enhance GPU utilization, with the goal of meeting the diverse SLOs of each workload and reducing overall GPU usage…”
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    Conference Proceeding
  20. 20

    APPLE-MASNUM: Accelerating parallel processing for lightweight expansion of MASNUM on a single multi-GPU node by Lou, Qi, Wu, Changmao, Dong, Changming, Feng, Xingru, Xia, Yuanyuan, Liu, Li, Xu, Zhengwei, Gao, Xu, Sun, Meng, Yin, Xunqiang

    ISSN: 1463-5003
    Published: Elsevier Ltd 01.07.2025
    Published in Ocean modelling (Oxford) (01.07.2025)
    “… This study then transforms MASNUM from a multi-process MPI program into a preliminary GPU-compatible algorithms…”
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    Journal Article