Demo Data from VLDB 2026 / reviewers in the wild / expert
Nikos Metaxakis
dblp:425/5742
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-6731-474XORCID · 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.
| Software engineering, system software, and programming languages
1 paper |
Concurrent programming · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Concurrent programming
concurrent data structures |
1.0 | 1 | 2026 | Sharded Elimination and Combining for Highly-Efficient Concurrent Stacks · PPoPP 2026 |
Concurrent programming › concurrent data structures
concurrent stack |
1.0 | 1 | 2026 | Sharded Elimination and Combining for Highly-Efficient Concurrent Stacks · PPoPP 2026 |
Concurrent programming
synchronization |
1.0 | 1 | 2026 | Sharded Elimination and Combining for Highly-Efficient Concurrent Stacks · PPoPP 2026 |
Methods — techniques the papers use, named apart from their topics
sharding · 1.0fetch-and-increment · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Sharded Elimination and Combining for Highly-Efficient Concurrent StacksabstractWe present a new blocking linearizable stack implementation which utilizes sharding and fetch&increment to achieve significantly better performance than all existing concurrent stacks. The proposed implementation is based on a novel elimination mechanism and a new combining approach that are efficiently blended to gain high performance. Our implementation results in enhanced parallelism and low contention when accessing the shared stack. Experiments show that the proposed stack implementation outperforms all existing concurrent stacks by up to 2X in most workloads. It is particularly efficient in systems supporting a large number of threads and in high contention scenarios. Ajay Singh 0002, Nikos Metaxakis, Panagiota Fatourou |
PPoPP | 2 |