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DOI: 10.4230/DARTS.5.2.2
URL: http://drops.dagstuhl.de/opus/volltexte/2019/10779/
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Springer, Matthias ; Masuhara, Hidehiko

DynaSOAr: A Parallel Memory Allocator for Object-Oriented Programming on GPUs with Efficient Memory Access (Artifact)

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DARTS-5-2-2.pdf (0.3 MB)
artifact-format:
DARTS-5-2-2-artifact-e7b8bb33961ae66209581e2c58c6cad3.zip (3 MB)


Abstract

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. 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.

BibTeX - Entry

@Article{springer_et_al:DARTS:2019:10779,
  author =	{Matthias Springer and Hidehiko Masuhara},
  title =	{{DynaSOAr: A Parallel Memory Allocator for Object-Oriented Programming on GPUs with Efficient Memory Access (Artifact)}},
  pages =	{2:1--2:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{2},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10779},
  doi =		{10.4230/DARTS.5.2.2},
  annote =	{Keywords: CUDA, Data Layout, Dynamic Memory Allocation, GPUs, Object-oriented Programming, SIMD, Single-Instruction Multiple-Objects, Structure of Arrays}
}

Keywords: CUDA, Data Layout, Dynamic Memory Allocation, GPUs, Object-oriented Programming, SIMD, Single-Instruction Multiple-Objects, Structure of Arrays
Seminar: Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019)
Related Scholarly Article: https://dx.doi.org/10.4230/LIPIcs.ECOOP.2019.17
Issue Date: 2019
Date of publication: 12.07.2019


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