Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration
Summary: Hybrid DB2 BLU acceleration via Nvidia GPUs with selective offload; CPU handles rest. Custom GPU kernels for group-by/aggregation; optimizer metadata enables dynamic kernel choice; benchmarks show up to 2x speedups on workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sina Meraji
- 2. Berni Schiefer
- 3. Lan Pham
- 4. Lee Chu
- 5. Peter Kokosielis
- 6. Adam Storm
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,996 | Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources | 2017 | VLDB | 5.7697228e-05 |
| 5,018 | Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS | 2022 | VLDB | 5.7503878e-05 |
| 8,846 | Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs | 2024 | VLDB | 4.432948e-05 |
| 9,970 | Data Movement-Aware GPU Sharing for Data-Intensive Systems | 2026 | CIDR | 4.1905499e-05 |
| 10,253 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB | 4.1905499e-05 |
| 10,416 | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | 2025 | SIGMOD | 4.1905499e-05 |
| 10,755 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 4.1905499e-05 |
| 11,781 | Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures | 2017 | SIGMOD | 4.1905499e-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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