EDBT 2026 Demo / reviewers in the wild / expert
Jinqi Hua
dblp:358/2541
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0002-5228-0537ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 · 72% Distributed systems · 28% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › shared memory › distributed shared memory
distributed memory management |
0.7 | 1 | 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory · SOSP 2023 |
Memory systems › shared memory
distributed shared memory |
0.7 | 1 | 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory · SOSP 2023 |
Distributed systems
fault tolerance |
0.7 | 1 | 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory · SOSP 2023 |
Memory systems › memory interconnect
CXL |
0.2 | 1 | 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory · SOSP 2023 |
Memory systems
non-volatile memory |
0.2 | 1 | 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory · SOSP 2023 |
Methods — techniques the papers use, named apart from their topics
memory management · 0.7failure recovery · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared MemoryabstractThe efficiency of distributed shared memory (DSM) has been greatly improved by recent hardware technologies. But, the difficulty of distributed memory management can still be a major obstacle to the democratization of DSM, especially when a partial failure of the participating clients (e.g., due to crashed processes or machines) should be tolerated. Teng Ma 0006, Jinqi Hua, Zheng Liu 0022, Kang Chen 0001, Fan Du, Jinlei Jiang, Tao Ma 0006, Yongwei Wu 0001 |
SOSP | 3 |