| 21 |
C-Store: A Column-oriented DBMS |
2005 |
VLDB |
0.00086087497 |
| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 232 |
A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment |
1989 |
SIGMOD |
0.00032122485 |
| 305 |
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units |
2009 |
VLDB |
0.00028248614 |
| 343 |
Implementing Database Operations Using SIMD Instructions |
2002 |
SIGMOD |
0.00026768139 |
| 365 |
On the Power of Magic |
1987 |
PODS |
0.00025585898 |
| 775 |
Relational Joins on Graphics Processors |
2008 |
SIGMOD |
0.00016823862 |
| 958 |
Rethinking SIMD Vectorization for In-Memory Databases |
2015 |
SIGMOD |
0.00015045316 |
| 1,270 |
BitWeaving: Fast Scans for Main Memory Data Processing |
2013 |
SIGMOD |
0.00012926086 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,287 |
Hardware-Oblivious Parallelism for In-Memory Column-Stores |
2013 |
VLDB |
0.00012820443 |
| 1,618 |
Row-wise Parallel Predicate Evaluation |
2008 |
VLDB |
0.00011114015 |
| 2,014 |
Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware |
2016 |
VLDB |
9.7904029e-05 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,287 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0972606e-05 |
| 2,390 |
ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout |
2015 |
SIGMOD |
8.9084657e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 2,882 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9661218e-05 |
| 3,151 |
A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs |
2017 |
SIGMOD |
7.4720668e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 3,898 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
6.6551268e-05 |
| 4,002 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.545665e-05 |
| 4,085 |
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures |
2015 |
VLDB |
6.4620277e-05 |
| 4,276 |
Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads |
2017 |
VLDB |
6.2976602e-05 |
| 4,518 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.117844e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 5,040 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7425187e-05 |
| 5,194 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
5.6368209e-05 |
| 5,300 |
Applying Hash Filters To Improving The Execution Of Bushy Trees |
1993 |
VLDB |
5.5793265e-05 |
| 5,765 |
Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries |
2024 |
CIDR |
5.336442e-05 |
| 5,814 |
Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration |
2016 |
SIGMOD |
5.3167137e-05 |
| 6,066 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2290447e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 6,369 |
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs |
2021 |
VLDB |
5.0936663e-05 |
| 6,604 |
MotherDuck: DuckDB in the cloud and in the client |
2024 |
CIDR |
4.9971118e-05 |
| 7,427 |
Selection Pushdown in Column Stores using Bit Manipulation Instructions |
2023 |
SIGMOD |
4.7327406e-05 |
| 8,415 |
Pruning in Snowflake: Working Smarter, Not Harder |
2025 |
SIGMOD |
4.5197687e-05 |
| 8,506 |
New Query Optimization Techniques in the Spark Engine of Azure Synapse |
2022 |
VLDB |
4.4957661e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.4372012e-05 |
| 9,695 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
4.3025567e-05 |