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hipMAGMA v2.0.0

Cade Brown; Ahmad Abdelfattah; Stanimire Tomov; Jack Dongarra


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" 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:creator>Cade Brown</dc:creator>
  <dc:creator>Ahmad Abdelfattah</dc:creator>
  <dc:creator>Stanimire Tomov</dc:creator>
  <dc:creator>Jack Dongarra</dc:creator>
  <dc:date>2020-07-02</dc:date>
  <dc:description>The goal of the MAGMA project is to create a new generation of linear algebra libraries that achieves the fastest possible time to an accurate solution on heterogeneous architectures, starting with current multicore + multi-GPU systems. To address the complex challenges stemming from these systems' heterogeneity, massive parallelism, and the gap between compute speed and CPU-GPU communication speed, MAGMA's research is based on the idea that optimal software solutions will themselves have to hybridize, combining the strengths of different algorithms within a single framework. Building on this idea, the goal is to design linear algebra algorithms and frameworks for hybrid multicore and multi-GPU systems that can enable applications to fully exploit the power that each of the hybrid components offers.</dc:description>
  <dc:identifier>https://zenodo.org/record/3928667</dc:identifier>
  <dc:identifier>10.5281/zenodo.3928667</dc:identifier>
  <dc:identifier>oai:zenodo.org:3928667</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3928666</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>dense linear algebra</dc:subject>
  <dc:subject>GPU computing</dc:subject>
  <dc:subject>linear algebra</dc:subject>
  <dc:title>hipMAGMA v2.0.0</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
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