The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: The 11th International Workshop on Data Analysis and Reduction for Big Scientific Data
Authors: Sheng Di (Argonne National Laboratory (ANL)), Ana Gainaru (Oak Ridge National Laboratory (ORNL)), Kento Sato (RIKEN Center for Computational Science (R-CCS)), and Xin Liang (University of Kentucky)
Abstract: In this new exascale computing era, applications must increasingly perform online data analysis and reduction — tasks that introduce algorithmic, implementation, and programming model challenges unfamiliar to many scientists and with major implications for the design and use of various elements of exascale systems. There are at least three important topics that this workshop is striving to address: (1) whether several orders of magnitude of data reduction is possible for exascale sciences; (2) understanding the performance and accuracy trade-off of data reduction; and (3) solutions to effectively reduce data while preserving the information hidden in large scientific datasets. Tackling these challenges requires expertise from computer science, mathematics, and application domains to study the problem holistically and develop solutions and robust software tools.
Website: https://drbsd.github.io/
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