An exascale simulation requires extreme-scale I/O. Existing workflows will not scale to this extent, particularly as an exascale simulation is likely to involve a smaller number of individuals carrying out large simulations and a larger number of individuals carrying out analysis of simulation products. Such analysis is bound to include data comparison from simulations carried out in multiple locations and stored on a range of media. ESiWACE addresses the entire workflow with software solutions addressing a range of targets, from simulation, through analysis, to information management across institutions. Most of the effort has been devoted to the simulation problem with work on both improving I/O from simulations (using the Earth System D...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
The Pilot Lab Exascale Earth System Modelling (PL-ExaESM) is a “Helmholtz-Inkubator Information & Da...
The data volumes produced by simulation and observation are large, and becoming larger. In the case ...
This deliverable provides the final implementation of the Earth System Data Middleware (ESDM) within...
Making the best use of HPC in Earth simulation requires storing and manipulating vast quantities of ...
The ESiWACE project aims to enable global eddy-resolving weather and climate simulations on the upco...
The ability to conduct and analyze exascale simulations requires efficient input/output (I/O) operat...
Abstract Making the best use of HPC in Earth simulation requires storing and manipulating vast quan...
Managing data from modern high resolution weather and climate simulations is becoming problematic. H...
The Earth System Data Middleware (ESDM) framework was developed in ESiWACE and can now serve as a pl...
As the volumes of data produced by Earth-System Models (ESM) continue to increase, solutions capable...
Data- and model-driven computer simulations are increasingly critical in many application domains. T...
Earth system models (ESMs) have increased the spatial resolution to achieve more accurate solutions,...
The central objectives of Work Package 1 of ESiWACE2 is to develop and run coupled model simulations...
Today’s large-scale simulations deal with complex geometries and numerical data on an extreme scale...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
The Pilot Lab Exascale Earth System Modelling (PL-ExaESM) is a “Helmholtz-Inkubator Information & Da...
The data volumes produced by simulation and observation are large, and becoming larger. In the case ...
This deliverable provides the final implementation of the Earth System Data Middleware (ESDM) within...
Making the best use of HPC in Earth simulation requires storing and manipulating vast quantities of ...
The ESiWACE project aims to enable global eddy-resolving weather and climate simulations on the upco...
The ability to conduct and analyze exascale simulations requires efficient input/output (I/O) operat...
Abstract Making the best use of HPC in Earth simulation requires storing and manipulating vast quan...
Managing data from modern high resolution weather and climate simulations is becoming problematic. H...
The Earth System Data Middleware (ESDM) framework was developed in ESiWACE and can now serve as a pl...
As the volumes of data produced by Earth-System Models (ESM) continue to increase, solutions capable...
Data- and model-driven computer simulations are increasingly critical in many application domains. T...
Earth system models (ESMs) have increased the spatial resolution to achieve more accurate solutions,...
The central objectives of Work Package 1 of ESiWACE2 is to develop and run coupled model simulations...
Today’s large-scale simulations deal with complex geometries and numerical data on an extreme scale...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
The Pilot Lab Exascale Earth System Modelling (PL-ExaESM) is a “Helmholtz-Inkubator Information & Da...
The data volumes produced by simulation and observation are large, and becoming larger. In the case ...