Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks
Summary: Casper automatically rewrites sequential data-intensive programs into Spark-friendly DSLs/APIs, lowering adaptation inertia for non-experts. The demonstration compares original Java implementations with optimized Spark versions in real time, via a browser interface and cloud execution. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 11,300 | Towards Auto-Generated Data Systems | 2023 | VLDB | 4.1945683e-05 |
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