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HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics
Summary: GPU-accelerated OLAP with compressed storage and GPU decompression to bridge I/O bottlenecks. Direct SSD-to-GPU, peer-to-peer transfer; stream-based, block-oriented execution with operator fusion and double buffering; scales with NVMe-GPU, outperforming YDB and MonetDB by 1–2 orders.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11305
- Venue
- VLDB
- Year
- 2016
- Pagerank
- 9.6300019e-05
- Overall Rank
- 2,072 | 85.61%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
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| Rank |
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Year |
Venue |
Pagerank |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 2,292 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0884645e-05 |
| 2,690 |
Accelerating Recommendation System Training by Leveraging Popular Choices |
2022 |
VLDB |
8.2911466e-05 |
| 3,328 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2136181e-05 |
| 4,040 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5052227e-05 |
| 5,018 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7503878e-05 |
| 5,039 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7369993e-05 |
| 5,089 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7017353e-05 |
| 5,129 |
The Art of Balance: A RateupDBTM Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
5.6724875e-05 |
| 5,334 |
Fast In-Memory SQL Analytics on Typed Graphs |
2017 |
VLDB |
5.5625443e-05 |
| 6,059 |
Progressive Compressed Records: Taking a Byte out of Deep Learning Data |
2021 |
VLDB |
5.2272544e-05 |
| 6,068 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2240241e-05 |
| 6,492 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
5.0364695e-05 |
| 6,861 |
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics |
2023 |
CIDR |
4.9005561e-05 |
| 7,087 |
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs |
2023 |
SIGMOD |
4.8324242e-05 |
| 7,324 |
BOSS - An Architecture for Database Kernel Composition |
2024 |
VLDB |
4.7565238e-05 |
| 7,752 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6558737e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.432948e-05 |
| 9,331 |
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach |
2023 |
SIGMOD |
4.351469e-05 |
| 10,121 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,167 |
FlashANNS: GPU-Driven Asynchronous I/O Pipelining for Eliminating Storage-Compute Bottlenecks in Billion-Scale Similarity Search |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,293 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
4.1905499e-05 |
| 10,302 |
RayDB: Building Databases with Ray Tracing Cores |
2026 |
VLDB |
4.1905499e-05 |
| 10,860 |
Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs |
2025 |
VLDB |
4.1905499e-05 |
| 11,012 |
Sorting on Byte-Addressable Storage: The Resurgence of Tree Structure |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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