Pablo Javier Grunmann

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[1] We present the impact tests that preceded the most recent operational upgrades to the land surface model used in the National Centers for Environmental Prediction (NCEP) mesoscale Eta model, whose operational domain includes North America. These improvements consist of changes to the ‘‘Noah’’ land surface model (LSM) physics, most notable in the area of(More)
This work shows how a Hybrid MPI/OpenMP implementation can improve the performance of the Ocean-Land-Atmosphere Model (OLAM) on a multi-core cluster environment, which is a typical HPC many small files workload application. Previous experiments have shown that the scalability of this application on clusters is limited by the performance of the output(More)
Atmospheric models usually demand high processing power and generate large amounts of data. As the degree of parallelism grows, the I/O operations may become the major impacting factor of their performance. This paper evaluates the Ocean-Land-Atmosphere Model (OLAM) on the PVFS file system in order to point the I/O characteristics of the application. We(More)
This paper presents the use of trace-based performance visualization of a large scale atmospheric model, the Ocean-Land-Atmosphere Model (OLAM). The trace was obtained with the libRastro library, and the visualization was done with Paj´e. The use of visualization aimed to analyze OLAM's performance and to identify its bottlenecks. Especially, we are(More)
This work evaluates the I/O performance in a multicorecluster environment for an atmosphere model for weather and climate simulations. It contains large data sets for I/Oin scientific applications. The analysis demonstrates that the scalability of the system gets worse as we increase the number of cores per machine, with greater impact on output operations.(More)
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