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Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications

Summary: Casper translates Java programs into MapReduce-style implementations for Hadoop, Spark, and Flink. It uses program synthesis to infer a MapReduce summary, verified by a theorem prover, then emits executable code; benchmarks show up to 48.2x speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5538
Venue
SIGMOD
Year
2018
Pagerank
5.9992323e-05
Overall Rank
4,676 | 67.51%
DOI
10.1145/3183713.3196891

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
2,809 Extending Relational Query Processing with ML Inference 2020 CIDR 8.0869552e-05
4,645 Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates 2020 SIGMOD 6.0190618e-05
5,623 New Directions in Cloud Programming 2021 CIDR 5.4050025e-05
8,533 Translation of Array-Based Loops to Distributed Data-Parallel Programs 2020 VLDB 4.4893996e-05
8,625 Predicate Pushdown for Data Science Pipelines 2023 SIGMOD 4.4784651e-05
11,302 Towards Auto-Generated Data Systems 2023 VLDB 4.1905499e-05
11,517 TraNCE: Transforming Nested Collections Efficiently 2021 VLDB 4.1905499e-05
11,546 View-Driven Optimization of Database-Backed Web Applications 2020 CIDR 4.1905499e-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.

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