Articles | Volume 8, issue 3
Model experiment description paper
24 Mar 2015
Model experiment description paper |  | 24 Mar 2015

Efficient performance of the Met Office Unified Model v8.2 on Intel Xeon partially used nodes

I. Bermous and P. Steinle

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Cited articles

Bermous, I., Henrichs, J., and Naughton, M.: Application performance improvement by use of partial nodes to reduce memory contention, CAWCR Research Letters, 9, 19–22, 2013.
BoM (the Australian Bureau of Meteorology): NMOC Operations Bulletin Number 93, available at: (last access: 3 September 2014), 2012.
BoM (the Australian Bureau of Meteorology): NMOC Operations Bulletin Number 99, available at: (last access: 3 September 2014), 2013.
Brown, A. R., Milton, S., Cullen, M., Golding, B., Mitchell, J., and Shelly, A.: Unified modelling and prediction of weather and climate: a 25 year journey, B. Am. Meteorol. Soc., 93, 1865–1877, 2012.
Corden, M. and Kreitzer, D.: Consistency of Floating-Point Results using the Intel® Compiler or Why doesn't my application always give the same answer?, available at: (last access: 3 September 2014), 2012.
Short summary
The trend in High Performance Computing (HPC) is for less memory bandwidth relative to the computational power of each core. With each CPU having multiple cores, the best way of using HPC systems is not always straightforward. For some time critical applications, shorter run times can be obtained by using only some of the cores per CPU and keeping the others idle. A number of factors are required to consider, but this provides a simple technique for a significant gain in the application speed.