Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing

Conference · Tue Mar 01 00:00:00 EST 2022

DOI:https://doi.org/10.1007/978-3-030-96498-6_21· OSTI ID:1885234

Devineni, Pravallika  ^[1]; Ganesh, Panchapakesan  ^[1]; Sivadas, Nikhil  ^[1]; Dhakane, Abhijeet  ^[1]; Maheshwari, Ketan  ^[1]; Herrmannova, Dasha  ^[1]; Kannan, Ramakrishnan {ramki}  ^[1]; Lim, Seung-Hwan  ^[1]; Potok, Thomas  ^[1]; Coletti, Mark  ^[1]; Dash, Madhumita ^[2]; Cable-Dunlap, Paula ^[1]; Paul, Arnab ^[1]; Oral, Sarp  ^[1]; Wang, Feiyi  ^[1]; Kay, Beverly ^[1]; Dumas, Melissa  ^[1]; Brelsford, Christa  ^[1]; New, Joshua  ^[1]; Berres, Andy  ^[1] ; Kurte, Kuldeep ^[1]; Sanyal, Jibo  ^[1]; Sweet-Breu, Levi ^[1]; Gunaratne, Chathika ^[1]; Ziatdinov, Maxim  ^[1]; Vasudevan, Rama K.  ^[1]; Kalinin, Sergei V.  ^[1]; Kotevska, Olivera  ^[1]; Bilheux, Hassina  ^[1]; Bilheux, Jean-Christophe  ^[1]; Granroth, Garrett  ^[1]; Proffen, Thomas  ^[1]; Riedel, Thomas ^[3]; Peterson, Peter  ^[1]; Kulkarni, Shruti  ^[1]; Kelley, Kyle  ^[1]; Jesse, Stephen  ^[1]; Parsa, Maryam ^[1]

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1. ORNL
2. Michigan Technological University
3. HZI - Helmholtz Centre for Infection Research, Braunschweig, Germany

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1885234
• Resource Relation: Journal Volume: 1512; Conference: Smoky Mountains Computational Sciences and Engineering Conference (SMC) - Virtual, Tennessee, United States of America - 10/18/2021 8:00:00 AM-10/20/2021 8:00:00 AM
• Country of Publication: United States
• Language: English