期刊
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
卷 31, 期 1, 页码 237-250出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2019.2929768
关键词
Graphics processors; hash tables; parallel algorithms; search problems
Hash tables are a fundamental data structure for effectively storing and accessing sparse data, with widespread usage in domains ranging from computer graphics to machine learning. This study surveys the state-of-the-art research on data-parallel hashing techniques for emerging massively-parallel, many-core GPU architectures. This survey identifies key factors affecting the performance of different techniques and suggests directions for further research.
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