Bringing Compiling Databases to RISC Architectures
Summary: Maps query compilation design space to RISC/AArch64 vs x86-64, identifying architecture-specific challenges and trade-offs between standard compiler infra and domain-specific code generators. Introduces FireARM for Umbra and shows domain-specific generators cut compile latency while standard infra eases portability and sustains high throughput. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ferdinand Gruber
- 2. Maximilian Bandle
- 3. Alexis Engelke
- 4. Thomas Neumann
- 5. Jana Giceva
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,476 | Analyzing Vectorized Hash Tables Across CPU Architectures | 2023 | VLDB | 4.4972784e-05 |
| 10,253 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB | 4.1905499e-05 |
| 10,901 | Welding Natural Language Queries to Analytics IRs with LLMs | 2024 | CIDR | 4.1905499e-05 |
| 10,972 | Query Compilation Without Regrets | 2024 | 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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,734 | Evolution of a Compiling Query Engine | 2021 | VLDB | 5.3471832e-05 |
| 8,623 | Adaptive Code Generation for Data-Intensive Analytics | 2021 | VLDB | 4.4786182e-05 |
| 4,952 | Designing an Open Framework for Query Optimization and Compilation | 2022 | VLDB | 5.806142e-05 |
| 528 | Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System | 2000 | VLDB | 0.0002085799 |
| 11,514 | Low-Latency Compilation of SQL Queries to Machine Code | 2021 | VLDB | 4.1905499e-05 |
| 59 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.0006445664 |
| 701 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB | 0.00017893039 |
| 2,383 | How to Architect a Query Compiler | 2016 | SIGMOD | 8.9198524e-05 |
| 8,930 | An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives | 2014 | SIGMOD | 4.4229886e-05 |
| 2,843 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD | 8.0334687e-05 |