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@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 |