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Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age

Summary: Introduces morsel-driven parallelism: NUMA-aware, fine-grained tasks that schedule small data morsels to run complete operator pipelines, bypassing plan-driven load balance. Dispatcher maps morsels to NUMA-local workers, enabling elastic parallelism and achieving >30x speedup on 32 cores for TPC-H/SSB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0de26f3a75aa1e54
Venue
SIGMOD
Year
2014
Pagerank
0.00024589307
Overall Rank
215 | 98.56%
DOI
10.1145/2588555.2610507

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{leis_sigmod14,
        title = {{Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age}},
        author = {Leis, Viktor and Boncz, Peter and Kemper, Alfons and Neumann, Thomas},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610507},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610507},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 133 citing papers.

Rank Citing Paper Year Venue Pagerank
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019705706
605 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015640305
627 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015454197
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014749318
907 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013157412
945 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00012933247
963 Memory-Efficient Hash Joins 2015 VLDB 0.00012815832
1,028 High-Speed Query Processing over High-Speed Networks 2016 VLDB 0.00012416417
1,242 BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017 SIGMOD 0.00011378275
1,341 Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last 2018 VLDB 0.00010963427
1,534 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010327147
1,596 Adopting Worst-Case Optimal Joins in Relational Database Systems 2020 VLDB 0.00010122962
1,744 How to Architect a Query Compiler 2016 SIGMOD 9.7332903e-05
1,748 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7289385e-05
1,753 Kuzu* Graph Database Management System 2023 CIDR 9.7244117e-05
1,949 Quantifying TPC-H Choke Points and Their Optimizations 2020 VLDB 9.3172855e-05
2,139 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.9735524e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.817248e-05
2,287 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.691301e-05
2,420 How to Architect a Query Compiler, Revisited 2018 SIGMOD 8.4883426e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4308406e-05
2,601 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2325291e-05
2,816 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9740083e-05
2,818 To Partition, or Not to Partition, That is the Join Question in a Real System 2021 SIGMOD 7.9703078e-05
2,829 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.9592539e-05
3,003 ClickHouse - Lightning Fast Analytics for Everyone 2024 VLDB 7.7631056e-05
3,427 Efficient Processing of Window Functions in Analytical SQL Queries 2015 VLDB 7.3048595e-05
3,597 Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? 2017 SIGMOD 7.1759026e-05
3,645 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 7.1383149e-05
3,775 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0261504e-05
3,847 Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing 2020 VLDB 6.9818676e-05
3,923 Analyzing Efficient Stream Processing on Modern Hardware 2019 VLDB 6.919667e-05
3,962 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8916038e-05
3,986 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8697828e-05
4,012 Deployment of Query Plans on Multicores 2015 VLDB 6.8540959e-05
4,036 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8360867e-05
4,056 Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement 2015 VLDB 6.8239192e-05
4,074 Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine 2024 SIGMOD 6.8175757e-05
4,200 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7378729e-05
4,296 Redy: Remote Dynamic Memory Cache 2022 VLDB 6.6774301e-05
4,391 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6196806e-05
4,704 Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores 2017 VLDB 6.4600076e-05
4,716 Scalable Reservoir Sampling on Many-Core CPUs 2019 SIGMOD 6.4536666e-05
4,796 Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling 2021 VLDB 6.409726e-05
4,819 Taming Subgraph Isomorphism for RDF Query Processing 2015 VLDB 6.3954734e-05
4,919 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.3519157e-05
5,043 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.2979214e-05
5,144 The 3D Hash Join: Building On Non-Unique Join Attributes 2022 CIDR 6.2542377e-05
5,244 DuckPGQ: Bringing SQL/PGQ to DuckDB 2023 VLDB 6.2127936e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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