WoW: What the World of (Data) Warehousing Can Learn from the World of Warcraft

Summary: End-to-end GPU-accelerated data warehouse prototype using Star Schema Benchmark at scale factor 1000; achieves >90% hardware efficiency on GPU+IBM storage. GUI-based interaction shows sub-20s queries over 6B rows (≈100 GB) with live operator-level performance monitoring. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4738
Venue: SIGMOD
Year: 2013
Pagerank: 5.093636e-05
Overall Rank: 12,249 | 15.97%
DOI: 10.1145/2463676.2465267

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Rene Mueller (IBM)
2. Tim Kaldewey (IBM)
3. Guy M. Lohman (IBM)
4. John McPherson (IBM)

BibTeX Citation

@inproceedings{mueller_sigmod13,
        title = {{WoW: What the World of (Data) Warehousing Can Learn from the World of Warcraft}},
        author = {Mueller, Rene and Kaldewey, Tim and Lohman, Guy M. and McPherson, John},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465267},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465267},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
631	Relational Joins on Graphics Processors	2008	SIGMOD	0.00015591241

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