<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0016-7169</journal-id>
<journal-title><![CDATA[Geofísica internacional]]></journal-title>
<abbrev-journal-title><![CDATA[Geofís. Intl]]></abbrev-journal-title>
<issn>0016-7169</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geofísica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-71692015000300245</article-id>
<article-id pub-id-type="doi">10.1016/j.gi.2015.04.020</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[A parallel computing strategy for Monte Carlo simulation using groundwater models]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Leyva-Suárez]]></surname>
<given-names><![CDATA[Esther]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Herrera]]></surname>
<given-names><![CDATA[Graciela S.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de la Cruz]]></surname>
<given-names><![CDATA[Luis M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Nacional Autónoma de México Posgrado en Ciencias de la Tierra ]]></institution>
<addr-line><![CDATA[México D.F.]]></addr-line>
<country>MX</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Geofísica ]]></institution>
<addr-line><![CDATA[México D.F.]]></addr-line>
<country>MX</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2015</year>
</pub-date>
<volume>54</volume>
<numero>3</numero>
<fpage>245</fpage>
<lpage>254</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-71692015000300245&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-71692015000300245&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-71692015000300245&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this paper we present the results of a parallelization strategy to reduce the execution time for applying Monte Carlo simulation with a large number of realizations obtained using a groundwater flow and transport model. We develop a script in Python using mpi4py, in order to execute GWMC and related programs in parallel, applying the MPI library. Our approach is to calculate the initial inputs for each realization, and run groups of these realizations in separate processors and afterwards to calculate the mean vector and the covariance matrix of them. This strategy was applied to the study of a simplified aquifer in a rectangular domain of a single layer. We report the results of speedup and efficiency for 1000, 2000 and 4000 realizations for different number of processors. Efficiencies of 0.70, 0.76 and 0.75 were obtained for 64, 64 and 96 processors, respectively. We observe a slightly improvement of the performance as the number of realizations is increased.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo se presentan los resultados de una estrategia de paralelización para reducir el tiempo de ejecución al aplicar la simulación Monte Carlo con un gran número de realizaciones obtenidas utilizando un modelo de flujo y transporte de agua subterránea. Desarrollamos un script en Python usando mpi4py, a fin de ejecutar GWMC y programas relacionados en paralelo aplicando la biblioteca MPI. Nuestro enfoque consiste en calcular las entradas iniciales para cada realización y correr grupos de estas realizaciones en procesadores separados y después calcular el vector medio y la matriz de covarianza de las mismas. Esta estrategia se aplicó al estudio de un acuífero simplificado en un dominio rectangular de una sola capa. Presentamos los resultados de aceleración y eficiencia para 1000, 2000 y 4000 realizaciones para diferente número de procesadores. Eficiencias de 0,70, 0,76 y 0,75 se obtuvieron para 64, 64 y 96 procesadores, respectivamente. Observamos una mejora ligera del rendimiento a medida que aumenta el número de realizaciones.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[groundwater]]></kwd>
<kwd lng="en"><![CDATA[flow and transport]]></kwd>
<kwd lng="en"><![CDATA[Monte Carlo simulation]]></kwd>
<kwd lng="en"><![CDATA[distributed parallel computing]]></kwd>
<kwd lng="en"><![CDATA[Python.]]></kwd>
<kwd lng="es"><![CDATA[Agua subterránea]]></kwd>
<kwd lng="es"><![CDATA[flujo y transporte]]></kwd>
<kwd lng="es"><![CDATA[simulación Monte Carlo]]></kwd>
<kwd lng="es"><![CDATA[cómputo paralelo distribuido]]></kwd>
<kwd lng="es"><![CDATA[Python.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Babu]]></surname>
<given-names><![CDATA[D.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pinder]]></surname>
<given-names><![CDATA[G.F.]]></given-names>
</name>
<name>
<surname><![CDATA[Niemi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahlfeld]]></surname>
<given-names><![CDATA[D.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Stothoff]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Chemical transport by three-dimensional groundwater flows]]></source>
<year>1993</year>
<publisher-loc><![CDATA[Princeton, N.J. ]]></publisher-loc>
<publisher-name><![CDATA[Dep. of Civ. Eng., Princeton Univ.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dalcin]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<source><![CDATA[MPI for Python, Release 1.3]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deutsch]]></surname>
<given-names><![CDATA[C.V.]]></given-names>
</name>
<name>
<surname><![CDATA[Journel]]></surname>
<given-names><![CDATA[A.G.]]></given-names>
</name>
</person-group>
<source><![CDATA[GSLIB. Geostatistical Software Library and User's Guide]]></source>
<year>1997</year>
<edition>2a</edition>
<page-range>369</page-range><publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[OXFORD UNIVERSITY PRESS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Distributed Parallel Computing in Stochastic Modeling of Groundwater Systems]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Groundwater Journal]]></source>
<year>2012</year>
<volume>51</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>293-7</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[The Anatomy of the Grid: Enabling Scalable Virtual Organizations]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Foster]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Kesselman]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Tuecke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of High Performance Computing Fall]]></source>
<year>2001</year>
<volume>15</volume>
<page-range>200-22</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[A stochastic-conceptual analysis of one dimensional groundwater flow in nonuniform homogeneous media]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Freeze]]></surname>
<given-names><![CDATA[R.A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Water Resources Research]]></source>
<year>1975</year>
<volume>11</volume>
<page-range>725-41</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gropp]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lusk]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Skjellum]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Using MPI-2: Advanced Features of the Message-Passing Interface]]></source>
<year>1999</year>
<publisher-loc><![CDATA[MA, USA ]]></publisher-loc>
<publisher-name><![CDATA[MIT Press Cambridge]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Herrera de Olivares]]></surname>
<given-names><![CDATA[G.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Cost Effective Groundwater Quality Sampling Network Design]]></source>
<year>1998</year>
<publisher-name><![CDATA[University of Vermont]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Space-time optimization of groundwater quality sampling networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Herrera]]></surname>
<given-names><![CDATA[G.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pinder]]></surname>
<given-names><![CDATA[G.F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Water Resources Research]]></source>
<year>2005</year>
<volume>41</volume>
<page-range>15</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kirk]]></surname>
<given-names><![CDATA[D.B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hwu]]></surname>
<given-names><![CDATA[W.-M.W.]]></given-names>
</name>
</person-group>
<source><![CDATA[Programming Massively Parallel Processors: A Hands-on Approach]]></source>
<year>2010</year>
<edition>1rs</edition>
<publisher-loc><![CDATA[San Francisco, CA, USA ]]></publisher-loc>
<publisher-name><![CDATA[Morgan Kaufmann Publishers Inc.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Python for Scientists and Engineers]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Milman]]></surname>
<given-names><![CDATA[K.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Aivazis]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Computing in Science &amp; Engineering]]></source>
<year>2011</year>
<volume>13</volume>
<page-range>9-12</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Bayesian geostatistical design: Task-driven optimal site investigation when the geostatistical model is uncertain]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nowak]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[De Barros]]></surname>
<given-names><![CDATA[F.P.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Rubin]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[Water Resources Research]]></source>
<year>2010</year>
<volume>46</volume>
<page-range>W03535</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olivares-Vázquez]]></surname>
<given-names><![CDATA[J.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Groundwater Quality Monitor GUI. User's Guide]]></source>
<year>2002</year>
<page-range>26</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Stochastic Hydrogeology: What Professionals Really Need?]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Renard]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Groundwater]]></source>
<year>2007</year>
<volume>45</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>531-41</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ridgway]]></surname>
<given-names><![CDATA[S.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Terry]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Babak]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Scientific parallel computing]]></source>
<year>2005</year>
<page-range>372</page-range><publisher-loc><![CDATA[New Jersey ]]></publisher-loc>
<publisher-name><![CDATA[Princeton University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Data assimilation and inverse methods in terms of a probabilistic formulation]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Van Leeuwen P.J.]]></surname>
<given-names><![CDATA[Evensen G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Monthly Weather Review]]></source>
<year>1996</year>
<volume>124</volume>
<page-range>2898-913</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
