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https://doi.org/10.1109/ipdps....
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2017
License: CC BY NC SA
Data sources: Datacite
DBLP
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Data sources: DBLP
DBLP
Article . 2017
Data sources: DBLP
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GPU LSM: A Dynamic Dictionary Data Structure for the GPU

Authors: Saman Ashkiani; Shengren Li; Martin Farach-Colton; Nina Amenta; John D. Owens;

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

Abstract

We develop a dynamic dictionary data structure for the GPU, supporting fast insertions and deletions, based on the Log Structured Merge tree (LSM). Our implementation on an NVIDIA K40c GPU has an average update (insertion or deletion) rate of 225 M elements/s, 13.5x faster than merging items into a sorted array. The GPU LSM supports the retrieval operations of lookup, count, and range query operations with an average rate of 75 M, 32 M and 23 M queries/s respectively. The trade-off for the dynamic updates is that the sorted array is almost twice as fast on retrievals. We believe that our GPU LSM is the first dynamic general-purpose dictionary data structure for the GPU.

11 pages, accepted to appear on the Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS'18)

Country
United States
Keywords

FOS: Computer and information sciences, range queries, Computer Science - Distributed, Parallel, and Cluster Computing, GPU, LSM trees, Distributed, Parallel, and Cluster Computing (cs.DC), dynamic data structures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
Green