Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures
Summary: Introduces a portable templating framework to implement skycube algorithms on multicore CPUs and GPUs. Three templates, including a point-based data-parallel paradigm, yield large speedups over non-parallel skycube methods and scale with multiple GPUs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kenneth S. Bøgh (Aarhus University)
- 2. Sean Chester (Norwegian Institute of Technology)
- 3. Darius Šidlauskas (EPFL)
- 4. Ira Assent (Aarhus University)
BibTeX Citation
@inproceedings{bgh_sigmod17,
title = {{Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures}},
author = {Bøgh, Kenneth S. and Chester, Sean and Šidlauskas, Darius and Assent, Ira},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035962},
url = {https://dl.acm.org/doi/10.1145/3035918.3035962},
year = {2017}
}
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