Embed Size (px)
DESCRIPTION
By Srivatsan V Raghavan. Tropical Marine Science Institute, NUS. http://www.youtube.com/watch?v=GIzxrzkD1T8&p=83FA1CD871F4A4E5 With climate change becoming an important topic in everyday life, the use of climate models for simulations is common. But these climate models are tools that demand heavy HPC resources. The advent of latest technologies in HPC systems have changed the way the climate research field has developed and there is always a never-ending need for sound infrastructure to meet with the herculean tasks of modelling and project deadlines. The talk will highlight certain issues on the use of such HPC systems looking at their merits and limitations and cite some case studies of benchmarked exercises using different HPC platforms.
Citation preview
Demand for High Performance Computingin Climate Research
Background
Climate Research
Long years - climate modelling
Continuous Simulations
High resolution computations - Parallel Computing
Situation
High resolution climate modelling
Experiment: about 150 years [ 1961-2010; 2010-2100] of climate simulations – In what time span can we get it done ?
Continuous Running and simultaneous post processing of large data
Need of a dedicated computing cluster
High speed performance and large disk space
Sample output from model
Temperature Monsoon Winds
Servers tested
TMSI
Alatum
Civil Engg
Amazon
SVU
0
2
4
6
8
10
12
14
TMSI Alatum Civil Engg Amazon SVU
Day
s
Run time for 1 calendar year
Sources of Bottlenecks
Storage mount
Network cables [ethernet vs high speed eg. Myrinet or Infiniband (IB)]
Memory
Core Type ( Virtual / Physical )
Network cables
TMSI ( Std GE)
Alatum (Std GE)
Civil Engg (Myrinet)
Amazon (Std 10GE)
SVU (IB)
Performance in SVU
16 node cluster, IB cabled, 48 GB mem.
10
60
110
160
210
260
310
360
410
460
510
560
610
660
710
760
810
1 6 12 36 72 84 96 144 168 180
Processors
Min
ute
s
Results
1 calendar year = 1 day ( desired 2 or 3 calendar years in 1 day)
IB cables certainly increase performance speed
More processors necessarily do not increase speed
The best system tested so far
Acknowledgements
Mr. Tan Chee Chiang
Ms. Grace Foo
Mr. Wang Junhong
