Chukonu: A Fully-Featured High-Performance Big Data Framework that Integrates a Native Compute Engine into Spark
Summary: Chukonu integrates a native compute engine into Spark via DAG splitting, offloading runtime work to Spark and compiling the rest natively. Optimizations—fusion, vectorization, compaction—reduce overhead; reach up to 71.58x over Spark and 2.29x on SparkSQL TPC-DS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bowen Yu
- 2. Guanyu Feng
- 3. Huanqi Cao
- 4. Xiaohan Li
- 5. Zhenbo Sun
- 6. Haojie Wang
- 7. Xiaowei Zhu
- 8. Weimin Zheng
- 9. Wenguang Chen
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,378 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.0909804e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 60 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00064439773 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 1,548 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011431383 |
| 3,951 | Why You Should Run TPC-DS: A Workload Analysis | 2007 | VLDB | 6.5953162e-05 |
| 4,120 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 6.4364588e-05 |
| 5,793 | Lifetime-Based Memory Management for Distributed Data Processing Systems | 2016 | VLDB | 5.3258796e-05 |
| 7,019 | Bridging the Gap Between HPC and Big Data Frameworks | 2017 | VLDB | 4.860057e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,372 | Data Chunk Compaction in Vectorized Execution | 2025 | SIGMOD | 4.1945683e-05 |
| 4,437 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.1907793e-05 |
| 11,197 | QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark | 2023 | SIGMOD | 4.1945683e-05 |
| 6,871 | Towards General and Efficient Online Tuning for Spark | 2023 | VLDB | 4.8997004e-05 |
| 3,535 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB | 6.9992495e-05 |
| 8,221 | Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware | 2022 | VLDB | 4.5556812e-05 |
| 8,617 | A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning | 2024 | VLDB | 4.4846425e-05 |
| 9,124 | Dynamic Speculative Optimizations for SQL Compilation in Apache Spark | 2020 | VLDB | 4.391961e-05 |
| 7,019 | Bridging the Gap Between HPC and Big Data Frameworks | 2017 | VLDB | 4.860057e-05 |
| 3,200 | Big Data Analytics with Datalog Queries on Spark | 2016 | SIGMOD | 7.3912411e-05 |