Výsledky vyhledávání - parallel programming environment CURA*

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  1. 1

    Leveling the Playing Field With AI: Special Olympics's Mary Davis Autor Ransbotham, Sam, Khodabandeh, Shervin

    ISSN: 1532-8937
    Vydáno: Cambridge Massachusetts Institute of Technology, Cambridge, MA 01.12.2024
    Vydáno v MIT Sloan management review (01.12.2024)
    “…[...]we do that through using the power of sport and programming in other areas, like education that you mentioned, health, and leadership…”
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    Journal Article
  2. 2

    Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges Autor Zhao, Zhiming, Hellström, Margareta

    ISBN: 9783030528294, 3030528294, 9783030528287, 3030528286
    Vydáno: Cham Springer Nature 2020
    “…This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20…”
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    E-kniha Kniha
  3. 3

    Cloud-enabled style-aware artwork composite recommendation based on correlation graph Autor Guo, Hongyuan, Anari, Maryam Saberi, Rezaee, Khosro

    ISSN: 2192-113X, 2192-113X
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025
    “…Recommending visually coherent and stylistically diverse sets of artworks is a challenging task in digital curation, interior design, and personalized visual content services…”
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    Journal Article
  4. 4

    RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor Autor Pallotta, Simone, Cascianelli, Silvia, Masseroli, Marco

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 07.04.2022
    Vydáno v BMC bioinformatics (07.04.2022)
    “…Background Heterogeneous omics data, increasingly collected through high-throughput technologies, can contain hidden answers to very important and still…”
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    Journal Article
  5. 5

    Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning Autor Chiu, Cho-Chun

    ISBN: 9798346387824
    Vydáno: ProQuest Dissertations & Theses 01.01.2024
    “… Our four pieces of work focus on optimizing the designs of network tomography, data curation, and model…”
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    Dissertation
  6. 6

    GPU-accelerated algorithms for many-particle continuous-time quantum walks Autor Piccinini, Enrico, Benedetti, Claudia, Siloi, Ilaria, Paris, Matteo G.A., Bordone, Paolo

    ISSN: 0010-4655, 1879-2944
    Vydáno: Elsevier B.V 01.06.2017
    Vydáno v Computer physics communications (01.06.2017)
    “… Hamiltonians containing stochastic terms. To this aim, we suggest a parallel algorithm based on the Taylor series expansion of the evolution operator, and compare its performances with those of algorithms based on the exact diagonalization…”
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    Journal Article
  7. 7

    MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline Autor Moon, Joseph, Bremer, Peer-Timo, Mukherjee, Pratik, Markowitz, Amy J, Palacios, Eva M, Rodriguez, Alexis, Xiao, Yuaki, Manley, Geoffrey T, Madduri, Ravi K

    ISSN: 2692-8205, 2692-8205
    Vydáno: Cold Spring Harbor Cold Spring Harbor Laboratory Press 24.12.2020
    Vydáno v bioRxiv (24.12.2020)
    “… We developed MaPPeRTrac, a diffusion MRI tractography pipeline that simplifies and vastly accelerates this process on a wide range of high performance computing environments…”
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    Paper
  8. 8

    Role of High-Performance Computing in Deep Learning Autor Wickramasinghe, Pulasthi Supun

    ISBN: 9798516947711
    Vydáno: ProQuest Dissertations & Theses 01.01.2021
    “… When considering real-world deep learning applications, most are comprised of two major stages. The first stage is data pre-processing and curation, and the second is model training and inference…”
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    Dissertation
  9. 9

    eWaterCycle II Autor Hut, Rolf, Drost, Niels, Van Hage, Willem, Van De Giesen, Nick

    Vydáno: IEEE 01.10.2018
    “… output to make claims on the global state of the hydrological cycle [1], [2]. Parallel to this development…”
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    Konferenční příspěvek
  10. 10

    Evaluating Hadoop for Data-Intensive Scientific Operations Autor Fadika, Z., Govindaraju, M., Canon, R., Ramakrishnan, L.

    ISBN: 9781467328920, 1467328928
    ISSN: 2159-6182
    Vydáno: IEEE 01.06.2012
    “…Emerging sensor networks, more capable instruments, and ever increasing simulation scales are generating data at a rate that exceeds our ability to effectively manage, curate, analyze, and share…”
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    Konferenční příspěvek