High performance air pollution modeling for a power plant environment

Martín, María J.; Singh, David E.; Mouriño, J. Carlos; Rivera, Francisco F.; Doallo, Ramón; Bruguera, J.D.

doi:10.1016/j.parco.2003.05.018

Cited by 22 publications

(15 citation statements)

References 11 publications

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“…In order to obtain a better exploitation of the memory hierarchy the outer loop has been parallelized. Details about the parallelization and performance results on different platforms, including the Grid, can be found at [11,12].…”

Section: The Stem-ii Modelmentioning

confidence: 99%

Fault-tolerant solutions for a MPI compute intensive application

Mouriño

2007

15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)

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Section: The Stem-ii Modelmentioning

confidence: 99%

Fault-tolerant solutions for a MPI compute intensive application

Mouriño

2007

15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)

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“…This module can be parallelized both in the loop x and in the loop y. In order to obtain a better exploitation of the memory hierarchy the outer loop has been parallelized [8].…”

Section: The Stem-ii Modelmentioning

confidence: 99%

“…As this model is computationally intensive, it has been parallelized using MPI for distributed memory machines and OpenMP for shared memory systems. Details about the parallelization and performance results on different platforms, including the Grid, can be found at [8][9][10]. The code was initially parallelized using a static load balance strategy that turns out to be quite inefficient for some input data.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Load-Balancing for the STEM-II Air Quality Model

Mouriño

Martín

González

et al. 2006

Computational Science and Its Applications - ICCSA 2006

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Abstract. The aim of this work is to improve load balance of the MPI parallel version of the STEM-II air quality model. Several dynamic data distributions are proposed and evaluated on different systems: homogeneous and dedicated, and heterogeneous and/or non-dedicated. Results prove that dynamic distribution strategies perform better than traditional static distributions. Although all the data distributions presented here have been developed to be used with the STEM-II air quality model, they are also very suitable for use in other parallel applications.

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“…The output consists of spatially and temporally gaseous and aqueous concentrations of each modeled specie, reaction rates, in and out fluxes, amount deposited and ionic concentrations of hydrometeor particles. As this model is computationally intensive, it has been parallelized using MPI [7].…”

Section: The Applicationsmentioning

confidence: 99%

“…The purpose of this work is to develop fault tolerant solutions for two different computationally intensive MPI codes, an air quality model [7] and a crack growth analysis [8]. A variable level checkpointing approach is followed, implemented through the use of our checkpointing and recovery tool, CPPC.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Fault-Tolerance of Large-Scale MPI Scientific Applications

Rodriguez

González

Lecture Notes in Computer Science

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Abstract. The running times of large-scale computational science and engineering parallel applications, executed on clusters or Grid platforms, are usually longer than the mean-time-between-failures (MTBF). Therefore, hardware failures must be tolerated to ensure that not all computation done is lost on machine failures. Checkpointing and rollback recovery are very useful techniques to implement fault-tolerant applications. Although extensive research has been carried out in this field, there are few available tools to help parallel programmers to enhance their applications with fault tolerance support. This work presents an experience to endow with fault tolerance two large MPI scientific applications: an air quality simulation model and a crack growth analysis. A fault tolerant solution has been implemented by means of a checkpointing and recovery tool, the CPPC framework. Detailed experimental results are presented to show the practical usefulness and low overhead of this checkpointing approach.

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High performance air pollution modeling for a power plant environment

Cited by 22 publications

References 11 publications

Fault-tolerant solutions for a MPI compute intensive application

Fault-tolerant solutions for a MPI compute intensive application

Dynamic Load-Balancing for the STEM-II Air Quality Model

Enhancing Fault-Tolerance of Large-Scale MPI Scientific Applications

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