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Jérôme Coquisart

dblp:434/0856 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Operating systems › i/o › i/o subsystem
i/o buffering and caching
1.012026
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
1.012026
PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026
High-performance computing
i/o intensive applications
0.312026
PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication · EuroSys 2026
Memory systems › cache management › storage caching
page cache
0.312026
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
YearPublicationVenuePosition
2026 PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication
abstract
Modern 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
EuroSys1