A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs
Summary: Memory-bandwidth-aware hybrid GPU radix sort halves transfers, delivering ~2.3× speedup on uniform data. A pipelined heterogeneous mode handles off-GPU/large inputs, enabling strong end-to-end gains over CPU radix sort on large key-value workloads. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Elias Stehle (Technical University of Munich)
- 2. Hans-Arno Jacobsen (Technical University of Munich)
BibTeX Citation
@inproceedings{stehle_sigmod17,
title = {{A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs}},
author = {Stehle, Elias and Jacobsen, Hans-Arno},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064043},
url = {https://dl.acm.org/doi/10.1145/3035918.3064043},
year = {2017}
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