DBScholar

Back to papers

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
10921
Venue
VLDB
Year
2013
Pagerank
0.00013269804
Overall Rank
912 | 93.75%
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 46 of 46 citing papers.

Rank Citing Paper Year Venue Pagerank
241 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023654664
1,466 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001068941
1,469 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010678751
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
1,574 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010321274
1,666 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010068964
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,203 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 8.9610447e-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
2,566 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.4116562e-05
2,713 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2122726e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
2,848 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 8.0538815e-05
3,060 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.8062155e-05
3,178 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.6630901e-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
3,791 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.1235328e-05
3,874 Tensors: An abstraction for general data processing 2021 VLDB 7.0561161e-05
3,895 The Case For Heterogeneous HTAP 2017 CIDR 7.0416054e-05
4,144 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 6.8744592e-05
4,243 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.8073248e-05
4,376 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7364442e-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
4,603 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.6105578e-05
5,092 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.3669454e-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
6,065 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 5.9895288e-05
6,825 Demonstrating Efficient Query Processing in Heterogeneous Environments 2014 SIGMOD 5.7622696e-05
7,058 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 5.7154673e-05
7,370 Efficient Top-K Query Processing on Massively Parallel Hardware 2018 SIGMOD 5.6313494e-05
7,432 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6199783e-05
7,666 Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores 2020 CIDR 5.57179e-05
8,374 SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries 2020 SIGMOD 5.4399097e-05
8,808 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3661351e-05
10,260 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 5.093636e-05
10,409 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 5.093636e-05
10,541 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 5.093636e-05
10,957 Towards Designing Future-Proof Data Processing Systems 2025 VLDB 5.093636e-05
10,985 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.093636e-05
11,231 Accelerating Merkle Patricia Trie with GPU 2024 VLDB 5.093636e-05
11,978 Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures 2017 SIGMOD 5.093636e-05
12,148 Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship 2015 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers