Výsledky vyhledávání - Multi-process parallel computation

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

    ISSN: 0306-2619, 1872-9118
    Vydáno: Elsevier Ltd 15.09.2023
    Vydáno v 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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    Cloud Computing Load Prediction Method Based on Hybrid Model of CEEMDAN-ConvLSTM Autor Zaho, Peng, Zhou, Jiantao, Zhao, Darning

    ISSN: 1002-137X
    Vydáno: Chongqing Guojia Kexue Jishu Bu 01.01.2023
    Vydáno v 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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    Dynamic Analysis Method for Concurrency Bugs in Multi-process/Multi-thread Environments Autor Park, Jihyun, Choi, Byoungju, Jang, Seungyeun

    ISSN: 0885-7458, 1573-7640
    Vydáno: 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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    CoSim: A coupled simulator for multi-process, multi-phase, and multi-scale analysis Autor Xu, Wenjie, Zhou, Qian, Feng, Zekang, Zhang, Yangyang, Wang, Junhao, Chen, Yongzhi, Ouyang, Penghao

    ISSN: 1672-2132
    Vydáno: Nanjing Zhongguo Zaihai Fangyu Xiehui 01.03.2025
    Vydáno v 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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    Multicore in production: advantages and limits of the multi-process approach in the ATLAS experiment Autor 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
    Vydáno: 01.01.2012
    Vydáno v 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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    Accelerating Multi - Process Communication for Parallel 3-D FFT Autor Ayala, Alan, Tomov, Stan, Stoyanov, Miroslav, Haidar, Azzam, Dongarra, Jack

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

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

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Vydáno: New York Springer Nature B.V 08.03.2025
    Vydáno v 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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    Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model Autor Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing

    ISSN: 0920-8542, 1573-0484
    Vydáno: New York Springer US 06.02.2019
    Vydáno v 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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    A scalable two-stage model for real-time Wetland bird recognition: A scalable two-stage model Autor Xia, Wenyuan, Zhou, Qing, Wu, Dayu, Wang, Siyuan, Zhou, Mengshuang

    ISSN: 1573-0484
    Vydáno: New York Springer US 08.03.2025
    Vydáno v 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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    Performance Characterization of Python Runtimes for Multi-device Task Parallel Programming Autor 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
    Vydáno: 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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    Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process Autor Fan, Xin, Sang, Hongyan, Tian, Mengxi, Yu, Yang, Chen, Song

    ISSN: 2210-6502
    Vydáno: Elsevier B.V 01.04.2025
    Vydáno v Swarm and evolutionary computation (01.04.2025)
    “…In modern manufacturing workshops, parallel machine scheduling and automated guided vehicle (AGV…”
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    Maximizing GPU Parallelism for a High-performance Cryptanalysis System Autor Kim, Sangyub, Shin, Youngjoo

    ISSN: 2996-1580
    Vydáno: 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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    Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales Autor Gamell, Marc, Teranishi, Keita, Mayo, Jackson, Kolla, Hemanth, Heroux, Michael A., Chen, Jacqueline, Parashar, Manish

    ISSN: 1045-9219, 1558-2183
    Vydáno: 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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    MP-GAN: Cyber-Attack Detection and Localization for Cyber-Physical Systems with Multi-Process Generative Adversarial Networks Autor Zhou, Yikui, Wang, Jie, Tang, Junnan, Gou, Chao, Jiang, Zigui, Li, Dan, Ng, See-Kiong

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

    ISSN: 0167-8191, 1872-7336
    Vydáno: Elsevier B.V 01.09.2012
    Vydáno v 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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    Decomposing Software Verification using Distributed Summary Synthesis Autor Beyer, Dirk, Kettl, Matthias, Lemberger, Thomas

    ISSN: 2994-970X, 2994-970X
    Vydáno: 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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    ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments Autor Lee, Munkyu, Seong, Sihoon, Kang, Minki, Lee, Jihyuk, Na, Gap-Joo, Chun, In-Geol, Nikolopoulos, Dimitrios, Hong, Cheol-Ho

    Vydáno: 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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