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Hardware-Oblivious Parallelism for In-Memory Column-Stores

Summary: Proposes a single set of OpenCL-based, hardware-oblivious column-store operators JIT-compiled for CPUs/GPUs, replacing manual tuning. Integrated into MonetDB, it matches CPU performance and surpasses it on GPUs while remaining portable across architectures. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h4769e87f261a927b
Venue
VLDB
Year
2013
Pagerank
0.00013428547
Overall Rank
856 | 94.25%
DOI
10.14778/2501554.2501558

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{heimel_vldb13,
        title = {{Hardware-Oblivious Parallelism for In-Memory Column-Stores}},
        author = {Heimel, Max and Saecker, Michael and Pirk, Holger and Manegold, Stefan and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {9},
        pages = {709--720},
        doi = {10.14778/2501554.2501558},
        url = {https://doi.org/10.14778/2501554.2501558},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 48 of 48 citing papers.

Rank Citing Paper Year Venue Pagerank
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024598661
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,473 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010557973
1,508 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010440205
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,541 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010313459
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
2,202 Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores 2015 VLDB 8.8719608e-05
2,216 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 8.8177753e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4348335e-05
2,466 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4222621e-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
3,106 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.6428848e-05
3,200 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.5437496e-05
3,459 Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach 2015 VLDB 7.2848113e-05
3,491 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.2619913e-05
3,626 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1524537e-05
3,655 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.1260841e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.945725e-05
3,935 The Case For Heterogeneous HTAP 2017 CIDR 6.9166006e-05
3,953 Tensors: An abstraction for general data processing 2021 VLDB 6.9027109e-05
3,961 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8948667e-05
4,137 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.7861661e-05
4,199 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7410637e-05
4,480 GPU Database Systems Characterization and Optimization 2024 VLDB 6.5807917e-05
4,645 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.4881339e-05
5,132 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.2597754e-05
5,541 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0902254e-05
5,615 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 6.0652416e-05
6,667 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.7152948e-05
6,935 Demonstrating Efficient Query Processing in Heterogeneous Environments 2014 SIGMOD 5.6400985e-05
7,066 Efficient Top-K Query Processing on Massively Parallel Hardware 2018 SIGMOD 5.6087334e-05
7,729 Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores 2020 CIDR 5.4657611e-05
8,236 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3710413e-05
8,274 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.3642256e-05
8,493 SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries 2020 SIGMOD 5.3310013e-05
10,473 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 4.9793485e-05
10,601 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.9793485e-05
10,723 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 4.9793485e-05
10,905 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9793485e-05
11,037 Future-Proof Data Systems 2026 VLDB 4.9793485e-05
11,344 Towards Designing Future-Proof Data Processing Systems 2025 VLDB 4.9793485e-05
11,567 Accelerating Merkle Patricia Trie with GPU 2024 VLDB 4.9793485e-05
12,276 Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures 2017 SIGMOD 4.9793485e-05
12,440 Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship 2015 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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