DBScholar

Back to papers

Query Co-Processing on Commodity Processors

Summary: Tutorial surveys query processing across CPUs, GPUs, NPUs, and Cell processors, emphasizing microarchitecture, memory hierarchies, and bandwidth. It identifies opportunities for heterogeneous co-processing and architecture-aware database algorithms beyond general-purpose CPUs. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9617
Venue
VLDB
Year
2006
Pagerank
6.298429e-05
Overall Rank
5,254 | 63.96%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ailamaki_vldb06,
        title = {{Query Co-Processing on Commodity Processors}},
        author = {Ailamaki, Anastassia and Govindaraju, Naga K. and Harizopoulos, Stavros and Manocha, Dinesh},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {1267--1268},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
631 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015591241
632 Adaptive Aggregation on Chip Multiprocessors 2007 VLDB 0.00015575286
4,478 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.6789258e-05
7,113 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 5.6985502e-05
7,792 Cache-Oblivious Query Processing 2007 CIDR 5.5431413e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Semantically Similar Papers