@article{springer2019ecoop-ae,
  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},
  month = jul,
  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},
  keywords = {CUDA, Data Layout, Dynamic Memory Allocation, GPUs, Object-Oriented Programming, SIMD, Single-Instruction Multiple-Objects, Structure of Arrays, C++},
  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. }
}