<?xml version="1.0" encoding="UTF-8"?>
<collection>
<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:language>eng</dc:language>
  <dc:creator>García Prado, Adián</dc:creator>
  <dc:creator>Pardo Zubiaur, David</dc:creator>
  <dc:creator>Celorrio de Pablo, Ricardo</dc:creator>
  <dc:title>CUDA implementation of integration rules within an hp-finite element code</dc:title>
  <dc:subject>integration</dc:subject>
  <dc:subject>fem</dc:subject>
  <dc:subject>cuda</dc:subject>
  <dc:subject>C language</dc:subject>
  <dc:description>With the introduction in 2006 of CUDA architecture for Nvidia GPUs a new programming model borned. Large number of articles indicates that this new programming model in a new architecture achieves better performance than previous implementations in traditional languages for CPUs. In this work the author tries to show the capabilities of GPU computing. To perform such a task a hp Finite Element integration method is implemented both in CUDA and in C language. After implementation, parallel executions in CPU and GPU will be compared to demonstrate if it is worth to create new algorimths under this architecture.</dc:description>
  <dc:date>2012-09-04T09:47:15Z</dc:date>
  <dc:identifier>http://zaguan.unizar.es/record/8931</dc:identifier>
  <dc:rights>http://creativecommons.org/licenses/by-nc-sa/3.0</dc:rights>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
  <dc:coverage>Zaragoza</dc:coverage>
  <dc:audience>Researchers</dc:audience>
  <dc:audience>Students</dc:audience>
  <dc:audience>Librarians</dc:audience>
</dc:dc>

</collection>
