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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
0.00024598661
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 0.00019711632
605 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015647561
627 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015460957
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014753664
906 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013160654
945 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00012939225
969 Memory-Efficient Hash Joins 2015 VLDB 0.0001278184
1,028 High-Speed Query Processing over High-Speed Networks 2016 VLDB 0.00012422084
1,241 BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017 SIGMOD 0.00011378254
1,341 Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last 2018 VLDB 0.00010968512
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,596 Adopting Worst-Case Optimal Joins in Relational Database Systems 2020 VLDB 0.00010127607
1,742 How to Architect a Query Compiler 2016 SIGMOD 9.7378418e-05
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
1,752 Kuzu* Graph Database Management System 2023 CIDR 9.7289339e-05
1,952 Quantifying TPC-H Choke Points and Their Optimizations 2020 VLDB 9.3189525e-05
2,137 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.9777553e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.8206114e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
2,419 How to Architect a Query Compiler, Revisited 2018 SIGMOD 8.4923505e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4348335e-05
2,600 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2363864e-05
2,815 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9777435e-05
2,818 To Partition, or Not to Partition, That is the Join Question in a Real System 2021 SIGMOD 7.9739791e-05
2,830 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.9619979e-05
3,001 ClickHouse - Lightning Fast Analytics for Everyone 2024 VLDB 7.7667824e-05
3,427 Efficient Processing of Window Functions in Analytical SQL Queries 2015 VLDB 7.3082914e-05
3,599 Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? 2017 SIGMOD 7.1773938e-05
3,642 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 7.1416697e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
3,846 Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing 2020 VLDB 6.9851711e-05
3,922 Analyzing Efficient Stream Processing on Modern Hardware 2019 VLDB 6.9229432e-05
3,961 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8948667e-05
3,985 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8730085e-05
4,011 Deployment of Query Plans on Multicores 2015 VLDB 6.8573269e-05
4,034 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8393244e-05
4,055 Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement 2015 VLDB 6.8270333e-05
4,074 Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine 2024 SIGMOD 6.8198673e-05
4,199 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7410637e-05
4,296 Redy: Remote Dynamic Memory Cache 2022 VLDB 6.6805238e-05
4,388 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6228033e-05
4,702 Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores 2017 VLDB 6.4630351e-05
4,713 Scalable Reservoir Sampling on Many-Core CPUs 2019 SIGMOD 6.4564798e-05
4,793 Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling 2021 VLDB 6.4127583e-05
4,817 Taming Subgraph Isomorphism for RDF Query Processing 2015 VLDB 6.3985024e-05
4,918 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.3548575e-05
5,041 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3006152e-05
5,142 The 3D Hash Join: Building On Non-Unique Join Attributes 2022 CIDR 6.2571095e-05
5,239 DuckPGQ: Bringing SQL/PGQ to DuckDB 2023 VLDB 6.215736e-05
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Outgoing Citations (Sorted by Pagerank)

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