Parallel and Distributed Data Series Processing on Modern and Emerging Hardware

被引：0
作者：
Fatourou, Panagiota [1 ,2 ]
机构：
[1] Inst Comp Sci, Fdn Res & Technol, Iraklion, Greece
[2] Univ Crete, Dept Comp Sci, Iraklion, Greece
来源：
MANAGEMENT OF DIGITAL ECOSYSTEMS, MEDES 2023 | 2024年 / 2022卷
关键词：
Data series; Time series; Indexing; Similarity search; Query answering; Multi-core architectures; Parallelization; GPU processing; Disk-based index; In-memory index; Distributed processing; LERNAEAN HYDRA;
D O I：
10.1007/978-3-031-51643-6_29
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper summarizes state-of-the-art results on data series processing with the emphasis on parallel and distributed data series indexes that exploit the computational power of modern computing platforms. The paper comprises a summary of the tutorial the author delivered at the 15th International Conference on Management of Digital EcoSystems (MEDES'23).
引用
收藏
页码：399 / 407
页数：9
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