Back to papers
H-Rocks: CPU-GPU accelerated Heterogeneous RocksDB on Persistent Memory
Summary: H-Rocks merges CPU-GPU to accelerate RocksDB on persistent memory, offloading hot-paths to the GPU while preserving compatibility via key-value versioning. Uses sub-batching and minimizes CPU-GPU data movement, delivering 3–18x YCSB gains over CPU-based pKVS.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7040
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.3690661e-05
- Overall Rank
- 9,229 | 35.80%
- DOI
-
10.1145/3709694
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 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 |
| 680 |
FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory |
2016 |
SIGMOD |
0.0001821501 |
| 899 |
Faster: A Concurrent Key-Value Store with In-Place Updates |
2018 |
SIGMOD |
0.00015509287 |
| 1,610 |
MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph |
2020 |
VLDB |
0.00011148094 |
| 1,888 |
Dash: Scalable Hashing on Persistent Memory |
2020 |
VLDB |
0.00010202743 |
| 2,751 |
Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores |
2015 |
VLDB |
8.1760621e-05 |
| 2,992 |
DPTree: Differential Indexing for Persistent Memory |
2020 |
VLDB |
7.7693475e-05 |
| 3,085 |
Viper: An Efficient Hybrid PMem-DRAM Key-Value Store |
2021 |
VLDB |
7.5993418e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 5,069 |
Disaggregating RocksDB: A Production Experience |
2023 |
SIGMOD |
5.7202501e-05 |
| 7,024 |
Plush: A Write-Optimized Persistent Log-Structured Hash-Table |
2022 |
VLDB |
4.8575128e-05 |
| 7,792 |
IcebergHT: High Performance Hash Tables Through Stability and Low Associativity |
2023 |
SIGMOD |
4.6494835e-05 |
| 9,362 |
FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage |
2024 |
VLDB |
4.3503444e-05 |
| 9,363 |
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System |
2024 |
VLDB |
4.3503444e-05 |
Semantically Similar Papers