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hipMAGMA v2.0.0

Cade Brown; Ahmad Abdelfattah; Stanimire Tomov; Jack Dongarra


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    <dcat:keyword>dense linear algebra</dcat:keyword>
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    <dct:description>&lt;p&gt;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&amp;#39; heterogeneity, massive parallelism, and the gap between compute speed and CPU-GPU communication speed, MAGMA&amp;#39;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.&lt;/p&gt;</dct:description>
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