A data locality optimizing algorithm
ACM SIGPLAN Notices - Best of PLDI 1979-1999
IBM Journal of Research and Development
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
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Providing reliable estimates of possible anthropogenic climate change is the subject of considerable scientific effort in the climate modeling community. Climate model simulations are computationally very intensive and the necessary computing capabilities can be provided by supercomputers only. Although modern high performance computer platforms can deliver a peak performance in the Petaflop/s range, most of the existing Earth System Models (ESMs) are unable to exploit this power. The main bottlenecks are the single core code performance, the communication overhead, non-parallel code sections, in particular serial I/O, and the static and dynamic load imbalance between model partitions. The pure scalability of ESMs on massively parallel systems has become a major problem in recent years. In this study we present results from the performance and scalability analysis of the high-resolution ocean model MPIOM and the atmosphere model ECHAM6 on the large-scale multicore cluster "Blizzard" located at the German Climate Computing Center (DKRZ). The issues outlined here are common to many currently existing ESMs running on massively parallel computer platforms with distributed memory.