<?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>1405-7743</journal-id>
<journal-title><![CDATA[Ingeniería, investigación y tecnología]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. invest. y tecnol.]]></abbrev-journal-title>
<issn>1405-7743</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-77432017000400423</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[BIOS-ParallelBlast: Paralelización optimizada de alineamiento de secuencias sobre Xeon Phi]]></article-title>
<article-title xml:lang="en"><![CDATA[BIOS-ParallelBlast: Optimized sequences alignment parallelization on Xeon Phi]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Orozco-Arias]]></surname>
<given-names><![CDATA[Simon]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Camargo-Forero]]></surname>
<given-names><![CDATA[Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Correa]]></surname>
<given-names><![CDATA[Juan Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guyot]]></surname>
<given-names><![CDATA[Romain]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cristancho]]></surname>
<given-names><![CDATA[Marco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de bioinformática y biología computacional  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Politécnica de Cataluña Departamento de Física ]]></institution>
<addr-line><![CDATA[Barcelona ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Centro de bioinformática y biología computacional  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Institut de Recherche pour le Développement  ]]></institution>
<addr-line><![CDATA[Montpellier ]]></addr-line>
<country>France</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Centro de bioinformática y biología computacional  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>18</volume>
<numero>4</numero>
<fpage>423</fpage>
<lpage>432</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-77432017000400423&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-77432017000400423&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-77432017000400423&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El uso de supercomputación en la ciencia es necesario, debido a las grandes cantidades de datos que se analizan para obtener resultados impactantes. Las tecnologías many-core como Intel Xeon Phi aparecen como una alternativa de acelerar estos análisis y su uso en la supercomputación, en especial, dentro de la bioinformática, donde es más común, pero los resultados no son los esperados al ejecutar software altamente demandante en clústeres heterogéneos. En la siguiente investigación se muestra un wrapper encargado de paralelizar óptimamente NCBI-Blast sobre varios nodos de CPUs y Xeon Phi, con el objetivo de reducir al máximo los tiempos de ejecución y demostrar la utilidad que pueden tener las tecnologías many-core en las ciencias aplicadas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Usage of supercomputing in science is more necessary every day, due to the large amount of data that researches have to analyze to obtain significant results. Many-cores technologies such as Intel Xeon Phi were developed as an alternative to accelerate these studies and its use in supercomputers and especially in bioinformatics is more common nowadays, but the results are not good enough when high-demand software is executed in heterogeneous clusters. This research shows a wrapper that achieves parallelization optimally using NCBI-Blast on CPUs and Xeon Phi nodes, the main goal here is to reduce execution times and to demonstrate the usefulness that many-cores technologies contribute in applied sciences.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[NCBI-Blast]]></kwd>
<kwd lng="es"><![CDATA[Xeon Phi]]></kwd>
<kwd lng="es"><![CDATA[tecnologías many-cores]]></kwd>
<kwd lng="es"><![CDATA[clústeres heterogéneos]]></kwd>
<kwd lng="es"><![CDATA[bioinformática]]></kwd>
<kwd lng="es"><![CDATA[supercomputación heterogénea]]></kwd>
<kwd lng="en"><![CDATA[NCBI-Blast]]></kwd>
<kwd lng="en"><![CDATA[Xeon Phi]]></kwd>
<kwd lng="en"><![CDATA[many-cores technologies]]></kwd>
<kwd lng="en"><![CDATA[heterogeneous clusters]]></kwd>
<kwd lng="en"><![CDATA[bioinformatics]]></kwd>
<kwd lng="en"><![CDATA[heterogeneous supercomputing]]></kwd>
</kwd-group>
</article-meta>
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