Demo Data from EDBT 2026 / reviewers in the wild / expert
Jérôme Coquisart
dblp:434/0856
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0002-7515-0081ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 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 |
Parallel and multicore computing · 62% Memory systems · 19% High-performance computing · 19% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › i/o › i/o subsystem
i/o buffering and caching |
1.0 | 1 | 2026 | PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026 |
Parallel and multicore computing › multiprocessor system › distributed-memory multiprocessor
NUMA systems |
1.0 | 1 | 2026 | PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026 |
High-performance computing
i/o intensive applications |
0.3 | 1 | 2026 | PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026 |
Memory systems › cache management › storage caching
page cache |
0.3 | 1 | 2026 | PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026 |
Methods — techniques the papers use, named apart from their topics
thread migration · 2.0page cache replication · 2.0memory migration · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache ReplicationabstractModern systems featuring multiple sockets suffer from the non-uniformity of performance of their memory accesses. Accessing memory of a remote node can lead to doubled latencies and halved bandwidth. This is particularly critical for I/O-intensive applications relying on the Linux page cache, where locality is paramount. Existing solutions migrating threads or memory across nodes fail to address the issue with highly parallel workloads, where a small working set is constantly accessed by multiple threads across nodes. Jérôme Coquisart, Julien Sopena, Redha Gouicem |
EuroSys | 1 |