DOE OSTI · 1885234
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing
Abstract
The 2021 Smoky Mountains Computational Sciences and Engineering Conference enlists scientists from across Oak Ridge National Laboratory (ORNL) and industry to be data sponsors and help create data analytics and edge computing challenges for eminent datasets in a variety of scientific domains. This work describes the significance of each of the eight datasets and their associated challenge questions. The challenge questions for each dataset were required to cover multiple difficulty levels. An international call for participation was sent to students, asking them to form teams of up to six people and apply novel data analytics and edge computing methods to solve these challenges.
Keep this discovery
Explore connections, maps & timelines
Devineni, Pravallika, Ganesh, Panchapakesan, Sivadas, Nikhil, Dhakane, Abhijeet, Maheshwari, Ketan, Herrmannova, Dasha, Kannan, Ramakrishnan {ramki}, Lim, Seung-Hwan, Potok, Thomas, Coletti, Mark, Dash, Madhumita, Cable-Dunlap, Paula, Paul, Arnab, Oral, Sarp, Wang, Feiyi, Kay, Beverly, Dumas, Melissa, Brelsford, Christa, New, Joshua, Berres, Andy, Kurte, Kuldeep, Sanyal, Jibo, Sweet-Breu, Levi, Gunaratne, Chathika, Ziatdinov, Maxim, Vasudevan, Rama K, Kalinin, Sergei V, Kotevska, Olivera, Bilheux, Hassina, Bilheux, Jean-Christophe, Granroth, Garrett, Proffen, Thomas, Riedel, Thomas, Peterson, Peter, Kulkarni, Shruti, Kelley, Kyle, Jesse, Stephen, Parsa, Maryam. 2022-03-01. Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. https://doi.org/10.1007/978-3-030-96498-6_21
Cite the original work for its findings. Save a collection to share your selection of sources.