Presentation
SIGN IN TO VIEW THIS PRESENTATION Sign In
The 9th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-9)
DescriptionIn this new exascale computing era, applications must increasingly perform online data analysis and reduction—tasks that introduce algorithmic, implementation, and programming model challenges that are unfamiliar to many scientists and that have major implications for the design and use of various elements of exascale systems. There are at least three important topics that our community is striving to answer: (1) whether several orders of magnitude of data reduction are 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 data. Tackling these challenges requires expertise from computer science, mathematics, and application domains to study the problem holistically, and develop solutions and hardened software tools that can be used by production applications. DRBSD-9 is a great venue to publish and share the latest research findings and achievements in this critical research topic.
