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          <dc:title>DynaSOAr: A Parallel Memory Allocator for Object-Oriented Programming on GPUs with Efficient Memory Access (Artifact)</dc:title>
          <dc:creator>Springer, Matthias</dc:creator>
          <dc:creator>Masuhara, Hidehiko</dc:creator>
          <dc:subject>CUDA</dc:subject>
          <dc:subject>Data Layout</dc:subject>
          <dc:subject>Dynamic Memory Allocation</dc:subject>
          <dc:subject>GPUs</dc:subject>
          <dc:subject>Object-oriented Programming</dc:subject>
          <dc:subject>SIMD</dc:subject>
          <dc:subject>Single-Instruction Multiple-Objects</dc:subject>
          <dc:subject>Structure of Arrays</dc:subject>
          <dc:description>This artifact contains the source code of DynaSOAr, a CUDA framework for Single-Method Multiple-Objects (SMMO) applications. SMMO is a type of object-oriented programs in which parallelism is expressed by running the same method on all applications of a type. &#13;
DynaSOAr is a dynamic memory allocator, combined with a data layout DSL and a parallel do-all operation. This artifact provides a tutorial explaining the API of DynaSOAr, along with nine benchmark applications from different domains. All benchmarks can be configured to use a different memory allocator to allow for a comparison with other state-of-the-art memory allocators.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matthias Springer and Hidehiko Masuhara</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of DARTS, Volume 5, Issue 2, Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019)</dc:relation>
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          <dc:language>eng</dc:language>
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