Intel Xeon / Hobart / Perth / Brisbane / Sydney / Canberra / Victoria / Melbourne / Adelaide / /
Company
IBM / Fujitsu / NEC / Oracle / Met Office / MCA / Intel / /
Country
Australia / / /
Event
Business Partnership / /
Facility
Intel MPI library / MPI library With / Australian National University / /
IndustryTerm
memory-intensive applications / operational weather forecasting software / weather forecasting operational systems / medium-range weather forecasting systems / software environments / file systems / dedicated file systems / operational systems / multicore processors / downstream applications / memory-bound applications / vector architecture systems / symmetric multi-processor / busy multi-user systems / software environment / forecast systems / time-critical systems / city systems / memory bandwidth-bound applications / memory bandwidth intensive applications / /
OperatingSystem
L3 / /
Organization
European Geosciences Union / I. Bermous and P. Steinle Centre for Australian Weather and Climate Research / Australian Bureau of Meteorology / UK Met Office / Australian National University / /
Person
Gary Dietachmayer / Martyn Corden / Paul Selwood / Dale Roberts / Dev / Sandy Bridge Ngamai / Ben Menadue / Robert Bell / /
Geosci. Model Dev., 8, 769–779, 2015 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Efficient performance of the Met Office Unified Model v8.2 on Intel