Back to papers
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics
Summary: HetCache co-optimizes data placement and access paths across NVMe, host DRAM and GPU memory for heterogeneous CPU–GPU servers, treating bandwidth/costs as access-path- and device-dependent. Using proportional, access-path-aware caching, it yields 1.14–1.78× speedups on NVMe-resident workloads and near in-memory performance for hybrid CPU–GPU execution while greatly improving memory efficiency.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 498
- Venue
- CIDR
- Year
- 2023
- Pagerank
- 4.905263e-05
- Overall Rank
- 6,861 | 52.27%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 128 |
An Evaluation of Buffer Management Strategies for Relational Database Systems |
1985 |
VLDB |
0.00044535268 |
| 695 |
2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm |
1994 |
VLDB |
0.00018061376 |
| 735 |
Umbra: A Disk-Based System with In-Memory Performance |
2020 |
CIDR |
0.00017452467 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,817 |
SSD Bufferpool Extensions for Database Systems |
2010 |
VLDB |
0.00010435936 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 2,287 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0972606e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 2,777 |
The Oracle Universal Server Buffer Manager |
1997 |
VLDB |
8.132433e-05 |
| 2,964 |
In-Memory Performance for Big Data |
2015 |
VLDB |
7.80643e-05 |
| 3,687 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
6.8417266e-05 |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |
| 7,209 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
4.7996023e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |
| 4,544 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.1000636e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1945683e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 10,649 |
STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage |
2025 |
VLDB |
4.1945683e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 7,209 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
4.7996023e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 5,301 |
ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data |
2018 |
VLDB |
5.5790928e-05 |