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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
- 7041
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.3648789e-05
- Overall Rank
- 9,232 | 35.84%
- 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 |
| 643 |
FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory |
2016 |
SIGMOD |
0.00018733394 |
| 892 |
Faster: A Concurrent Key-Value Store with In-Place Updates |
2018 |
SIGMOD |
0.00015522869 |
| 1,614 |
MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph |
2020 |
VLDB |
0.00011137963 |
| 1,823 |
Dash: Scalable Hashing on Persistent Memory |
2020 |
VLDB |
0.00010403355 |
| 2,753 |
Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores |
2015 |
VLDB |
8.1722714e-05 |
| 2,986 |
DPTree: Differential Indexing for Persistent Memory |
2020 |
VLDB |
7.7757727e-05 |
| 3,050 |
Viper: An Efficient Hybrid PMem-DRAM Key-Value Store |
2021 |
VLDB |
7.6491863e-05 |
| 3,328 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2136181e-05 |
| 5,018 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7503878e-05 |
| 5,067 |
Disaggregating RocksDB: A Production Experience |
2023 |
SIGMOD |
5.714783e-05 |
| 6,536 |
Plush: A Write-Optimized Persistent Log-Structured Hash-Table |
2022 |
VLDB |
5.0182211e-05 |
| 7,792 |
IcebergHT: High Performance Hash Tables Through Stability and Low Associativity |
2023 |
SIGMOD |
4.6450249e-05 |
| 9,370 |
FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage |
2024 |
VLDB |
4.3461752e-05 |
| 9,371 |
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System |
2024 |
VLDB |
4.3461752e-05 |
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