HPC at LANL

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf A6: The most difficult part of building exascale software in the visualization area is automating human driven interactive visualization tasks to run independently in a batch environment #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf @IntelStorage

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf A5: (3/3) In the storage area, we are working closely with Intel on their new object storage solution, Distributed Asynchronous Object Storage (DAOS) #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf A5: (2/3) For example, in the visualization area we noted the growing significant gap in I/O and computational rates and are now developing in situ visualization and analysis techniques #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf A5: (1/3) We make a plan for writing our software after studying and understanding technology trends and vendor specific features #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf Hi, I am Jim Ahrens and I am the Data and Visualization lead for ECP. #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf A1: E4S takes the best software engineering practices from different areas (including building, testing and documentation) and applies them uniformly to all areas as an integrated package #ExascaleChat

[HPC at LANL @HPC_LANL]

@exascaleproject @argonne_lcf Hi, I am Jim Ahrens, lead for the Data and Visualization Area. # ExascaleChat