Corpus ID: 127979159

Parallelization of the HIROMB ocean model

@inproceedings{Wilhelmsson2002ParallelizationOT,
  title={Parallelization of the HIROMB ocean model},
  author={Tomas Wilhelmsson},
  year={2002}
}
The HIROMB model of the North Sea and the Baltic Sea has been running operationally at SMHI since 1995 and delivers daily forecasts of currents, temperature, salinity, water level, and ice conditions. We have parallelized and ported HIROMB from vector computers to distributed memory parallel computers like CRAY T3E and SGI Origin 3800. The parallelization has allowed grid resolution to be refined from 3 to 1 nautical miles over the Baltic Sea, without increasing the total runtime. The grid… Expand
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References

SHOWING 1-10 OF 128 REFERENCES
Running an Operational Baltic Sea Model on the T 3 E
The Swedish Meterological and Hydrological Institute (SMHI) makes daily forecasts of currents, temperature, salinity, water level, and ice conditions in the Baltic Sea. These forecasts are based onExpand
Increasing resolution and forecast length with a parallel ocean model
Abstract A 3-dimensional baroclinic model of the North Sea and the Baltic Sea has delivered operational forecasts since 1995. The model is mainly forced by the operational atmospheric model (HIRLAM)Expand
Performance Analysis of a Multiprocessor Coupled Ice-Ocean Model for the Baltic Sea
TLDR
A detailed performance analysis shows that the ice model causes generic workload imbalance between involved processors, and an improved domain partitioning technique minimizes load imbalance, but cannot solve the problem completely. Expand
Heading for an Asynchronous Parallel Ocean Model
TLDR
High Resolution Operational Model of the Baltic Sea (HiROMB) currently calculated on one processor CRAY C90 vector computer and has to be ported to the distributed memory parallel CRAY T3E to save operation expenses and allow a refinement of the grid resolution from currently 3 nautical miles (nm) to 1 nm within acceptable execution times. Expand
ERDC MSRC / PET TR / 00-08 Dual-Level Parallelism Improves Load-Balance in Coastal Ocean Circulation Modeling
Numerical grid generation techniques play an important role in the numerical solution of partial di erential equations on arbitrarily-shaped regions. For coastal ocean modeling, in particular, aExpand
Parallel ocean general circulation modeling
Abstract We have developed a global ocean model on the massively parallel CM-2 Connection Machine based on the Bryan-Cox-Semtner ocean general circulation model. This paper discusses the ConnectionExpand
Implementation and Performance Evaluation of a Parallel Ocean Model
TLDR
A parallel implementation suitable for running high resolution simulations of El Nino Southern Oscillation is developed and performance issues such as the communication overhead and cache hit rate are studied. Expand
A Multiprocessor Ocean General Circulation Model Using Message Passing
Abstract Numerical models of the ocean are widely used to study the physics, chemistry, and biology of the ocean and its effect on climate. Unfortunately limits in available computer power oftenExpand
A Comparison of Data-Parallel and Message-Passing Versions of the Miami Isopycnic Coordinate Ocean Model (MICOM)
TLDR
A partitioning strategy for the message passing version that significantly reduces memory requirements and increases model speed is developed and found the T3D and CM-5 are found to execute the “large” model version at roughly the same speed. Expand
Data Partitioning Methods and Parallel Block-Oriented PDE Solvers
TLDR
New data partitioning methods for block-structured problems within scientific computing, which are variational data assimilation in meteorology, ocean modeling, and airflow simulation with multiblock grids, are developed and investigated. Expand
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