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GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP

Summary: GOLAP proposes a GPU-in-data-path for OLAP, streaming compressed blocks from SSDs into the GPU and decompressing on-the-fly during scans. It uses GPU-optimized pruning to boost read bandwidth, reaching up to 100 GiB/s and outperforming systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h7aba1cd4885fc0be
Venue
SIGMOD
Year
2024
Pagerank
6.3247654e-05
Overall Rank
4,989 | 66.46%
DOI
10.1145/3698812

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{boeschen_sigmod24,
        title = {{GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP}},
        author = {Boeschen, Nils and Ziegler, Tobias and Binnig, Carsten},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3698812},
        url = {https://dl.acm.org/doi/10.1145/3698812},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
219 SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units 2009 VLDB 0.00024363532
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019711632
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
900 Query Optimization In Compressed Database Systems 2001 SIGMOD 0.00013186558
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,541 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010313459
2,185 Database Compression on Graphics Processors 2010 VLDB 8.8948351e-05
2,877 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.9181223e-05
3,200 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.5437496e-05
3,655 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.1260841e-05
3,762 Dimensions Based Data Clustering and Zone Maps 2017 VLDB 7.0421949e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.945725e-05
4,608 Not your Grandpa's SSD: The Era of Co-Designed Storage Devices 2021 SIGMOD 6.5035877e-05
6,489 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.7676507e-05
7,188 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 5.5908064e-05
7,240 SaS: SSD as SQL Database System 2021 VLDB 5.577789e-05
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