Efficient Query Processing on Many-core Architectures
Author:
Affiliation:
1. Nanyang Technological University, Singapore, Singapore
2. Huawei Singapore Research Centre, Singapore, Singapore
3. IHPC, A*STAR, Singapore, Singapore
Funder
Ministry of Education - Singapore
National Research Foundation Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2882903.2899407
Reference14 articles.
1. Multi-core, main-memory joins
2. Efficient implementation of sorting on multi-core SIMD CPU architecture
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4. EaseDB
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1. One size does not fit all: accelerating OLAP workloads with GPUs;Distributed and Parallel Databases;2020-07-31
2. Joins on high-bandwidth memory: a new level in the memory hierarchy;The VLDB Journal;2019-07-13
3. Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors;Journal of Parallel and Distributed Computing;2018-10
4. The New Hardware Development Trend and the Challenges in Data Management and Analysis;Data Science and Engineering;2018-09
5. Joins in a heterogeneous memory hierarchy;Proceedings of the 14th International Workshop on Data Management on New Hardware;2018-06-11
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