19061

Memory-Efficient Object-Oriented Programming on GPUs

Matthias Springer
Tokyo Institute of Technology
arXiv:1908.05845 [cs.PL], (16 Aug 2019)

@misc{springer2019memoryefficient,

   title={Memory-Efficient Object-Oriented Programming on GPUs},

   author={Matthias Springer},

   year={2019},

   eprint={1908.05845},

   archivePrefix={arXiv},

   primaryClass={cs.PL}

}

Object-oriented programming is often regarded as too inefficient for high-performance computing (HPC), despite the fact that many important HPC problems have an inherent object structure. Our goal is to bring efficient, object-oriented programming to massively parallel SIMD architectures, especially GPUs. In this thesis, we develop various techniques for optimizing object-oriented GPU code. Most notably, we identify the object-oriented Single-Method Multiple-Objects (SMMO) programming model. We first develop an embedded C++ Structure of Arrays (SOA) data layout DSL for SMMO applications. We then design a lock-free, dynamic memory allocator that stores allocations in SOA layout. Finally, we show how to further optimize the memory access of SMMO applications with memory defragmentation.
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