Zobrazeno 1 - 10
of 1 515
pro vyhledávání: '"Scientific workflows"'
Autor:
Kadum Muhanad Mohammed, Deng Xiaoheng
Publikováno v:
Nonlinear Engineering, Vol 13, Iss 1, Pp 2370-82 (2024)
Scheduling scientific workflows is essential for edge data centers operations. Fault tolerance is a crucial focus in workflow scheduling (WS) research. This study proposed fault-tolerant WS in edge data centers using Task Prioritization Adaptive Part
Externí odkaz:
https://doaj.org/article/73c9b3834de14b8ba6dddd79c8af51f6
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
While a great deal of recent effort has focused on addressing a perceived reproducibility crisis within brain structural magnetic resonance imaging (MRI) and functional MRI research communities, this article argues that brain positron emission tomogr
Externí odkaz:
https://doaj.org/article/1ebe4175f61f41fd991987acc82deeec
Autor:
Scott Callaghan, Philip J. Maechling, Fabio Silva, Mei-Hui Su, Kevin R. Milner, Robert W. Graves, Kim B. Olsen, Yifeng Cui, Karan Vahi, Albert Kottke, Christine A. Goulet, Ewa Deelman, Thomas H. Jordan, Yehuda Ben-Zion
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
Externí odkaz:
https://doaj.org/article/8df7dfb9352e4c84806d73d5aa7d0d7e
Autor:
Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Kewei Wang, Adam Aurisano, Ankit Agrawal, Alok Choudhary, Wei-Keng Liao
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
IntroductionReconstructing low-level particle tracks in neutrino physics can address some of the most fundamental questions about the universe. However, processing petabytes of raw data using deep learning techniques poses a challenging problem in th
Externí odkaz:
https://doaj.org/article/10b49198fabc4a4d837b0c9a391a5a20
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101927- (2024)
While researchers benefit from Apache Spark for executing scientific workflows at scale, they often lack provenance support due to the framework’s design limitations. This paper presents SAMbA-RaP, a provenance extension for Apache Spark. It focuse
Externí odkaz:
https://doaj.org/article/d5b2f94f3c03413db1ee37f6fe42b1ed
Autor:
Scott Callaghan, Philip J. Maechling, Fabio Silva, Mei-Hui Su, Kevin R. Milner, Robert W. Graves, Kim B. Olsen, Yifeng Cui, Karan Vahi, Albert Kottke, Christine A. Goulet, Ewa Deelman, Thomas H. Jordan, Yehuda Ben-Zion
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
The Statewide (formerly Southern) California Earthquake Center (SCEC) conducts multidisciplinary earthquake system science research that aims to develop predictive models of earthquake processes, and to produce accurate seismic hazard information tha
Externí odkaz:
https://doaj.org/article/30b76b50e3854374ae111c6c0f6ddbf0
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3973-3986 (2023)
Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes. Interdisciplinary research is challenging since it demands the integration of scientific schemes and practices from differ
Externí odkaz:
https://doaj.org/article/2fb9d1d0f5e04f9ca25cb55086488df0
Autor:
Marine Djaffardjy, George Marchment, Clémence Sebe, Raphaël Blanchet, Khalid Belhajjame, Alban Gaignard, Frédéric Lemoine, Sarah Cohen-Boulakia
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 2075-2085 (2023)
Data analysis pipelines are now established as an effective means for specifying and executing bioinformatics data analysis and experiments. While scripting languages, particularly Python, R and notebooks, are popular and sufficient for developing sm
Externí odkaz:
https://doaj.org/article/da9412b833614bf6bed6651f2c9a7459
Autor:
Alexander Feoktistov, Alexei Edelev, Andrei Tchernykh, Sergey Gorsky, Olga Basharina, Evgeniy Fereferov
Publikováno v:
Computation, Vol 11, Iss 12, p 243 (2023)
Implementing high-performance computing (HPC) to solve problems in energy infrastructure resilience research in a heterogeneous environment based on an in-memory data grid (IMDG) presents a challenge to workflow management systems. Large-scale energy
Externí odkaz:
https://doaj.org/article/3973a32b895a446594e74a50245d85b5
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