OLAP on Modern Chiplet-Based Processors
Summary: Characterizes severe OLAP inefficiencies on chiplet CPUs when engines assume uniform memory and core performance, including non-linear scaling within a socket. Chiplet-aware task placement improves utilization and scalability, delivering up to 7× speedup. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alessandro Fogli (Imperial College London)
- 2. Bo Zhao (Aalto University)
- 3. Peter Pietzuch (Imperial College London)
- 4. Maximilian Bandle (Technical University of Munich)
- 5. Jana Giceva (Technical University of Munich)
BibTeX Citation
@article{fogli_vldb24,
title = {{OLAP on Modern Chiplet-Based Processors}},
author = {Fogli, Alessandro and Zhao, Bo and Pietzuch, Peter and Bandle, Maximilian and Giceva, Jana},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3428--3441},
doi = {10.14778/3681954.3682011},
url = {https://doi.org/10.14778/3681954.3682011},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,793 | Declarative Memory Services | 2026 | CIDR | 5.1257999e-05 |
| 9,906 | High-Performance DBMSs with io_uring: When and How to Use It | 2026 | VLDB | 5.1103839e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055406774 |
| 80 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00036364464 |
| 233 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023783585 |
| 680 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00014828697 |
| 945 | The End of Slow Networks: It's Time for a Redesign | 2016 | VLDB | 0.00012939225 |
| 1,790 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.6272006e-05 |
| 1,952 | Quantifying TPC-H Choke Points and Their Optimizations | 2020 | VLDB | 9.3189525e-05 |
| 1,972 | OLTP on Hardware Islands | 2012 | VLDB | 9.2858692e-05 |
| 2,802 | Distributed Join Algorithms on Thousands of Cores | 2017 | VLDB | 7.9903139e-05 |
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