The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap –
Summary: Matryoshka enables nested parallelism in dataflow engines with a two-phase flattening that turns programs into flat ones, even with inner control flow. It adds nesting primitives and runtime data-aware optimizations, validated on PageRank and K-means. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,741 | Babelfish: Efficient Execution of Polyglot Queries | 2022 | VLDB | 5.3450701e-05 |
| 7,303 | DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines | 2022 | CIDR | 4.7632836e-05 |
| 8,096 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD | 4.583522e-05 |
| 8,515 | UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads | 2022 | VLDB | 4.4901466e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,883 | Massively Parallel Data Analysis with PACTs on Nephele | 2010 | VLDB | 4.624141e-05 |
| 1,114 | Parallel Evaluation of Conjunctive Queries | 2011 | PODS | 0.00013871948 |
| 10,504 | Nested Parquet Is Flat, Why Not Use It? How To Scan Nested Data With On-the-Fly Key Generation and Joins | 2025 | SIGMOD | 4.1905499e-05 |
| 8,533 | Translation of Array-Based Loops to Distributed Data-Parallel Programs | 2020 | VLDB | 4.4893996e-05 |
| 8,081 | Meta-Dataflows: Efficient Exploratory Dataflow Jobs | 2018 | SIGMOD | 4.5871672e-05 |
| 12,047 | Iterative Parallel Data Processing with Stratosphere: An Inside Look | 2013 | SIGMOD | 4.1905499e-05 |
| 2,823 | Implicit Parallelism through Deep Language Embedding | 2015 | SIGMOD | 8.0593793e-05 |
| 6,661 | Scalable Querying of Nested Data | 2021 | VLDB | 4.9663934e-05 |
| 2,855 | Exploiting Matrix Dependency for Efficient Distributed Matrix Computation | 2015 | SIGMOD | 8.013421e-05 |
| 2,179 | Spinning Fast Iterative Data Flows | 2012 | VLDB | 9.3632007e-05 |