Data Reduction for Science: Brochure from the Advanced Scientific Computing Research Workshop

Technical Report · Thu Apr 15 00:00:00 EDT 2021

DOI:https://doi.org/10.2172/1770192· OSTI ID:1770192

Klasky, Scott ^[1]; Thayer, Jana ^[2]; Najm, Habib ^[3]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. SLAC National Accelerator Lab., Menlo Park, CA (United States)
3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

Data reduction for science holds promise for addressing the challenges of moving, storing, and processing massive data sets produced by the scientific community. Pursuing the PRDs outlined here will enable advances in data streaming, fast feedback and/or autonomous control of experiments, and faster time to scientific insight. These advances will result in a significant improvement in the ability to transport, store, process and interpret experimental, observational, and computational data.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• OSTI ID: 1770192
• Resource Relation: Conference: Data Reduction for Science Workshop, Washington (held virtually), DC (United States), Jan 2021
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING