Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware
Summary: Co-designs heterogeneous-accelerator integration into Big Data frameworks with no API changes and arbitrary UDF support, enabling transparent acceleration. Flink prototype runs unmodified Java apps on GPUs/FPGA, delivering up to 65x GPU and 184x FPGA speedups. (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 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,456 | DPDPU: Data Processing with DPUs | 2025 | CIDR | 4.3385595e-05 |
| 9,731 | Workload Placement on Heterogeneous CPU-GPU Systems | 2024 | VLDB | 4.2942813e-05 |
| 10,405 | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
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