Selection of the PPPL code could help ready it for
exascale development.
Not exact matches
For the next fiscal year, the Administration today requested only $ 68 million in DOE funding for
exascale science, which includes everything from hardware
development, novel mathematical methods, and scientific applications, such as climate modeling software programs.
«Assessing regional earthquake risk and hazards in the age of
exascale: Researchers lead
development of a workflow to accurately predict ground movement and its impact on structures.»
Development of HipMCL was primarily supported by the U.S. Department of Energy's Office of Science via the
Exascale Solutions for Microbiome Analysis (ExaBiome) project, which is developing
exascale algorithms and software to address current limitations in metagenomics research.
Stevens is principal investigator of a multi-institutional effort advancing an
exascale computing framework focused on the
development of the deep neural network code CANDLE (CANcer Distributed Learning Environment).
Argonne is part of a multi-institutional effort advancing an
exascale computing framework focused on the
development of the deep neural network code called CANDLE, to help understand these mutations.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model
development: the challenge of
exascale, dynamical core
developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model
development