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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="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <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: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: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>
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