| 35 |
MonetDB/X100: Hyper-Pipelining Query Execution |
2005 |
CIDR |
0.00076197749 |
| 239 |
GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management |
2006 |
SIGMOD |
0.00031617428 |
| 300 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028441466 |
| 398 |
Big Data Integration |
2013 |
VLDB |
0.00024372588 |
| 497 |
Column-Stores vs. Row-Stores: How Different Are They Really? |
2008 |
SIGMOD |
0.00021716559 |
| 712 |
Magellan: Toward Building Entity Matching Management Systems |
2016 |
VLDB |
0.00017732426 |
| 775 |
Relational Joins on Graphics Processors |
2008 |
SIGMOD |
0.00016823862 |
| 1,004 |
Storage Management in the NVRAM Era |
2014 |
VLDB |
0.00014695628 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,338 |
Query Processing on Smart SSDs: Opportunities and Challenges |
2013 |
SIGMOD |
0.00012493384 |
| 1,590 |
Column-oriented Database Systems |
2009 |
VLDB |
0.00011233838 |
| 1,686 |
Fast Computation of Database Operations using Graphics Processors |
2004 |
SIGMOD |
0.00010917794 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 2,287 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0972606e-05 |
| 2,330 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
9.0192228e-05 |
| 2,519 |
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture |
2013 |
VLDB |
8.6078505e-05 |
| 2,934 |
AIDA - Abstraction for Advanced In-Database Analytics |
2018 |
VLDB |
7.8595778e-05 |
| 3,305 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
7.2460965e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,465 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.0695873e-05 |
| 3,696 |
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS |
2013 |
VLDB |
6.834483e-05 |
| 3,948 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
6.5959084e-05 |
| 4,033 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5113267e-05 |
| 4,198 |
Aggregation Support for Modern Graph Analytics in TigerGraph |
2020 |
SIGMOD |
6.3677305e-05 |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |
| 6,041 |
FPGA: What's in it for a Database? |
2009 |
SIGMOD |
5.2407055e-05 |
| 6,644 |
A Relational Matrix Algebra and its Implementation in a Column Store |
2020 |
SIGMOD |
4.9782839e-05 |
| 6,647 |
Fast Join Project Query Evaluation using Matrix Multiplication |
2020 |
SIGMOD |
4.9772122e-05 |
| 7,216 |
FrogWild! – Fast PageRank Approximations on Graph Engines |
2015 |
VLDB |
4.7984727e-05 |
| 7,416 |
MILC: Inverted List Compression in Memory |
2017 |
VLDB |
4.7355258e-05 |
| 8,048 |
Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration |
2020 |
VLDB |
4.5977431e-05 |