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GPL: A GPU-based Pipelined Query Processing Engine

Summary: GPL introduces a GPU-based, pipelined query engine for in-memory OLAP. By exploiting concurrent kernel execution and inter-kernel data channels, it enables true pipelining; a cost model tunes tile size to optimize plans, delivering up to 48% speedups on TPC-H versus kernel-based approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5313
Venue
SIGMOD
Year
2016
Pagerank
8.0538815e-05
Overall Rank
2,848 | 80.47%
DOI
10.1145/2882903.2915224

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{paul_sigmod16,
        title = {{GPL: A GPU-based Pipelined Query Processing Engine}},
        author = {Paul, Johns and He, Jiong and He, Bingsheng},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915224},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915224},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
1,574 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010321274
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
3,791 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.1235328e-05
3,895 The Case For Heterogeneous HTAP 2017 CIDR 7.0416054e-05
4,089 TCUDB: Accelerating Database with Tensor Processors 2022 SIGMOD 6.9096857e-05
4,535 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 6.6419266e-05
4,585 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.6175897e-05
5,422 GPU Database Systems Characterization and Optimization 2024 VLDB 6.2245373e-05
5,807 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.0805143e-05
5,871 Cheetah: Accelerating Database Queries with Switch Pruning 2020 SIGMOD 6.0604381e-05
6,835 GPU-accelerated data management under the test of time 2020 CIDR 5.7584924e-05
7,058 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 5.7154673e-05
7,432 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6199783e-05
7,591 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.5900315e-05
8,374 SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries 2020 SIGMOD 5.4399097e-05
9,280 Themis: A GPU-accelerated Relational Query Execution Engine 2025 VLDB 5.2933689e-05
10,096 Out-of-order Execution of Database Queries 2020 VLDB 5.1523392e-05
10,409 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
14 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.0006312782
29 Database Architecture Optimized for the New Bottleneck: Memory Access 1999 VLDB 0.00052093615
74 Cache Conscious Algorithms for Relational Query Processing 1994 VLDB 0.00037330605
83 H-Store: A High-Performance, Distributed Main Memory Transaction Processing System 2008 VLDB 0.00036185259
109 DBMSs On A Modern Processor: Where Does Time Go? 1999 VLDB 0.000331207
241 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023654664
256 Data-Oriented Transaction Execution 2010 VLDB 0.00023172982
383 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019520728
631 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015591241
634 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015533814
823 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00013792901
912 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013269804
1,024 The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses 2010 SIGMOD 0.0001258839
1,143 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011999403
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
2,140 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0991487e-05
2,435 Parallel In-Situ Data Processing with Speculative Loading 2014 SIGMOD 8.5811022e-05
2,498 Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores 2015 VLDB 8.5016595e-05
2,504 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4963369e-05
3,435 Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach 2015 VLDB 7.4172582e-05
3,471 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.3885861e-05
4,085 Deployment of Query Plans on Multicores 2015 VLDB 6.9149518e-05
4,478 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.6789258e-05
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