DimmStore: Memory Power Optimization for Database Systems
Summary: DimmStore, memory-power optimization for DBs, uses rank-aware allocation and rate-based layout to concentrate load. Prototype with a hardware testbed evaluated on YCSB/TPC-C, reporting up to 50% power savings and minimal performance impact. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexey Karyakin
- 2. Kenneth Salem
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,151 | Data Pipes: Declarative Control over Data Movement | 2023 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 137 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00042342967 |
| 694 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00018061803 |
| 982 | Anti-Caching: A New Approach to Database Management System Architecture | 2013 | VLDB | 0.00014872253 |
| 3,939 | How to Build a Non-Volatile Memory Database Management System | 2017 | SIGMOD | 6.6155594e-05 |
| 9,612 | Workload-Aware CPU Performance Scaling for Transactional Database Systems | 2018 | SIGMOD | 4.3177432e-05 |
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