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Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware

Summary: Voodoo is a declarative vector algebra that abstracts hardware specifics (SIMD, caches, multi-core) for portable, tuned query compilation. A novel control-vector, vector-oriented frontend exposes parallelism abstractly and enables OpenCL code generation, letting MonetDB backends rival state-of-the-art in-memory engines on CPUs and GPUs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11311
Venue
VLDB
Year
2016
Pagerank
9.7814175e-05
Overall Rank
2,019 | 85.97%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 37 of 37 citing papers.

Rank Citing Paper Year Venue Pagerank
848 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015933538
1,751 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00010673874
2,292 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 9.0884645e-05
2,659 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 8.3615158e-05
2,777 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.1346418e-05
2,843 How to Architect a Query Compiler, Revisited 2018 SIGMOD 8.0334687e-05
2,904 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 7.9403097e-05
3,260 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3091312e-05
3,280 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 7.2813732e-05
3,719 To Partition, or Not to Partition, That is the Join Question in a Real System 2021 SIGMOD 6.8141176e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
4,359 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 6.2493951e-05
4,700 Tensors: An abstraction for general data processing 2021 VLDB 5.9810592e-05
4,952 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 5.806142e-05
5,357 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 5.5512343e-05
6,218 Charting the Design Space of Query Execution using VOILA 2021 VLDB 5.1462707e-05
6,286 What Makes a Good Physical Plan? — Experiencing Hardware-Conscious Query Optimization with Candomble 2016 SIGMOD 5.1227213e-05
6,367 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 5.0887599e-05
6,525 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.0223854e-05
6,649 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 4.9724735e-05
6,863 Declarative Sub-Operators for Universal Data Processing 2023 VLDB 4.9003859e-05
7,209 GPU-accelerated data management under the test of time 2020 CIDR 4.7949787e-05
7,550 Efficient Top-K Query Processing on Massively Parallel Hardware 2018 SIGMOD 4.7089541e-05
7,692 Bringing Compiling Databases to RISC Architectures 2023 VLDB 4.6717437e-05
7,817 Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores 2020 CIDR 4.6400608e-05
7,925 Architecting a Query Compiler for Spatial Workloads 2020 SIGMOD 4.610914e-05
8,053 Building Advanced SQL Analytics From Low-Level Plan Operators 2021 SIGMOD 4.5925468e-05
9,206 Themis: A GPU-accelerated Relational Query Execution Engine 2025 VLDB 4.3695556e-05
9,671 BIPie: Fast Selection and Aggregation on Encoded Data using Operator Specialization 2018 SIGMOD 4.302191e-05
9,822 Thriving in the No Man’s Land between Compilers and Databases 2019 CIDR 4.2713516e-05
9,918 MorphStore — In-Memory Query Processing based on Morphing Compressed Intermediates LIVE 2019 SIGMOD 4.2520778e-05
10,344 Cephalopod - Virtual Data Model Composition through Partial Query Translation 2025 CIDR 4.1905499e-05
10,721 Towards Designing Future-Proof Data Processing Systems 2025 VLDB 4.1905499e-05
10,755 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 4.1905499e-05
10,901 Welding Natural Language Queries to Analytics IRs with LLMs 2024 CIDR 4.1905499e-05
10,972 Query Compilation Without Regrets 2024 SIGMOD 4.1905499e-05
11,072 Hardware-Efficient Data Imputation through DBMS Extensibility 2024 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
241 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.00031314629
701 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017893039
959 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015034808
1,285 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00012809552
2,421 Tupleware: "Big" Data, Big Analytics, Small Clusters 2015 CIDR 8.8471956e-05
3,075 Evita Raced: Metacompilation for Declarative Networks 2008 VLDB 7.6078165e-05
5,737 Enabling Incremental Query Re-Optimization 2016 SIGMOD 5.3459609e-05
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Overall Rank Paper Year Venue Pagerank
9,856 Towards Unifying Query Interpretation and Compilation 2023 CIDR 4.2652623e-05
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6,218 Charting the Design Space of Query Execution using VOILA 2021 VLDB 5.1462707e-05
4,678 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 5.9988623e-05
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
7,817 Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores 2020 CIDR 4.6400608e-05
848 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015933538
8,417 doppioDB: A Hardware Accelerated Database 2017 SIGMOD 4.5120193e-05
959 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015034808
1,285 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00012809552