Demo Data from VLDB 2026 / reviewers in the wild / expert
Daniel Carlson
dblp:354/5462
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0009-0199-5293ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Memory systems · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › tiered memory
dynamic tiering |
0.7 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems
hybrid memory |
0.7 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems
non-volatile memory |
0.7 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems › non-volatile memory
persistent memory |
0.7 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems
tiered memory |
0.7 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems
DRAM |
0.2 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Memory systems › memory management › memory allocation
page allocation |
0.2 | 1 | 2023 | Allocation Policies Matter for Hybrid Memory Systems · HPDC 2023 |
Methods — techniques the papers use, named apart from their topics
page allocation policies · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Allocation Policies Matter for Hybrid Memory SystemsabstractExisting tiered memory systems all use DRAM-Preferred as their allocation policy, whereby pages get allocated from higher-performing DRAM until it is filled, after which all future allocations are made from lower-performing persistent memory (PM). The novel insight of this work is that the right page allocation policy for a workload can help to lower the access latencies for the newly allocated pages. We design, implement, and evaluate three page allocation policies within the real system deployment of the state-of-the-art dynamic tiering system. We observe that the right page allocation policy can improve the performance of a tiered memory system by as much as 17x for certain workloads. Adnan Maruf, Daniel Carlson, Ashikee Ghosh, Manoj Pravakar Saha, Janki Bhimani, Raju Rangaswami |
HPDC | 2 |