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Query Co-Processing on Commodity Processors

Summary: Survey of query co-processing on commodity processors (GPUs, NPUs, Cell) for data workloads. Analyzes micro-architectural and memory-hierarchy differences, surveys prior work, and highlights how to adapt query processing to heterogeneous hardware. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9426
Venue
VLDB
Year
2006
Pagerank
5.72154e-05
Overall Rank
5,068 | 64.75%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
714 Adaptive Aggregation on Chip Multiprocessors 2007 VLDB 0.00017730584
775 Relational Joins on Graphics Processors 2008 SIGMOD 0.00016823862
4,678 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.0046271e-05
7,377 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 4.7484565e-05
7,378 Cache-Oblivious Query Processing 2007 CIDR 4.7480163e-05
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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
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