PolyBench: The First Benchmark for Polystores-Reference-Cited by-同舟云学术

PolyBench: The First Benchmark for Polystores

Published:2019 Issue: Volume: Page:24-41
ISSN:0302-9743
Container-title:Performance Evaluation and Benchmarking for the Era of Artificial Intelligence
language:
Short-container-title:

Author:

Karimov Jeyhun,Rabl Tilmann,Markl Volker

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-11404-6_3

Reference27 articles.

1. Apache Arrow: a cross-language development platform for in-memory data. https://arrow.apache.org/ . Accessed 24 Feb 2018

2. Query modeling and optimization in the BigDAWG polystore system. http://istc-bigdata.org/index.php/query-modeling-and-optimization-in-the-bigdawg-polystore-system/ . Accessed 10 Mar 2018

3. Avery, C.: Giraph: large-scale graph processing infrastructure on Hadoop. In: Proceedings of the Hadoop Summit, Santa Clara, vol. 11, pp. 5–9 (2011)

4. Lecture Notes in Computer Science;C Bondiombouy,2015

5. Chaudhuri, S., Narasayya, V.: Self-tuning database systems: a decade of progress. In: Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 3–14. VLDB Endowment (2007)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GRAFT: GNN-based Adaptive Framework for Efficient CGRA Mapping;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

2. Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing;2022 IEEE 40th International Conference on Computer Design (ICCD);2022-10

3. RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains;2022 Design, Automation & Test in Europe Conference & Exhibition (DATE);2022-03-14

4. Finding missed optimizations through the lens of dead code elimination;Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems;2022-02-22

5. Multi-level PWB and PWC for Reducing TLB Miss Overheads on GPUs;Algorithms and Architectures for Parallel Processing;2022