| 3 |
Pig Latin: A Not-So-Foreign Language for Data Processing |
2008 |
SIGMOD |
0.0024217964 |
| 35 |
MonetDB/X100: Hyper-Pipelining Query Execution |
2005 |
CIDR |
0.00076209479 |
| 59 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.0006445664 |
| 701 |
Building Efficient Query Engines in a High-Level Language |
2014 |
VLDB |
0.00017893039 |
| 729 |
Umbra: A Disk-Based System with In-Memory Performance |
2020 |
CIDR |
0.00017448059 |
| 790 |
Conjunctive Selection Conditions in Main Memory |
2002 |
PODS |
0.0001659522 |
| 848 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015933538 |
| 1,097 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014083973 |
| 1,107 |
Froid: Optimization of Imperative Programs in a Relational Database |
2018 |
VLDB |
0.0001397627 |
| 1,546 |
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark |
2018 |
SIGMOD |
0.00011418993 |
| 1,751 |
Weld: A Common Runtime for High Performance Data Analytics |
2017 |
CIDR |
0.00010673874 |
| 1,875 |
An Architecture for Compiling UDF-centric Workflows |
2015 |
VLDB |
0.00010243959 |
| 2,355 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.9727612e-05 |
| 2,367 |
Here are my Data Files. Here are my Queries. Where are my Results? |
2011 |
CIDR |
8.9502761e-05 |
| 2,383 |
How to Architect a Query Compiler |
2016 |
SIGMOD |
8.9198524e-05 |
| 2,809 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
8.0869552e-05 |
| 2,823 |
Implicit Parallelism through Deep Language Embedding |
2015 |
SIGMOD |
8.0593793e-05 |
| 2,843 |
How to Architect a Query Compiler, Revisited |
2018 |
SIGMOD |
8.0334687e-05 |
| 2,874 |
StatusQuo: Making Familiar Abstractions Perform Using Program Analysis |
2013 |
CIDR |
7.9762275e-05 |
| 2,904 |
Evaluating End-to-End Optimization for Data Analytics Applications in Weld |
2018 |
VLDB |
7.9403097e-05 |
| 2,955 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
7.8188583e-05 |
| 3,085 |
Compiling PL/SQL Away |
2020 |
CIDR |
7.5960713e-05 |
| 3,270 |
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - |
2018 |
VLDB |
7.3013196e-05 |
| 3,298 |
Extracting Equivalent SQL from Imperative Code in Database Applications |
2016 |
SIGMOD |
7.2527707e-05 |
| 4,319 |
Fast Queries Over Heterogeneous Data Through Engine Customization |
2016 |
VLDB |
6.2823814e-05 |
| 4,490 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.137834e-05 |
| 4,645 |
Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates |
2020 |
SIGMOD |
6.0190618e-05 |
| 4,813 |
Putting Pandas in a Box |
2021 |
CIDR |
5.8993009e-05 |
| 5,357 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.5512343e-05 |
| 5,438 |
The NebulaStream Platform: Data and Application Management for the Internet of Things |
2020 |
CIDR |
5.5041764e-05 |
| 5,540 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
5.450319e-05 |
| 6,646 |
Functional-Style SQL UDFs With a Capital 'F' |
2020 |
SIGMOD |
4.9734285e-05 |
| 6,649 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
4.9724735e-05 |
| 6,783 |
SparkR: Scaling R Programs with Spark |
2016 |
SIGMOD |
4.9221272e-05 |
| 7,447 |
DBridge: Translating Imperative Code to SQL |
2017 |
SIGMOD |
4.7227748e-05 |
| 7,925 |
Architecting a Query Compiler for Spatial Workloads |
2020 |
SIGMOD |
4.610914e-05 |
| 8,623 |
Adaptive Code Generation for Data-Intensive Analytics |
2021 |
VLDB |
4.4786182e-05 |
| 9,008 |
The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – |
2021 |
SIGMOD |
4.4065351e-05 |
| 9,822 |
Thriving in the No Man’s Land between Compilers and Databases |
2019 |
CIDR |
4.2713516e-05 |