Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Gorelik
dblp:132/3999
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Concurrent programming · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Concurrent programming
synchronization |
0.2 | 1 | 2013 | Brief announcement: an asymmetric flat-combining based queue algorithm · PODC 2013 |
Parallel and multicore computing
concurrent data structures |
0.2 | 1 | 2013 | Brief announcement: an asymmetric flat-combining based queue algorithm · PODC 2013 |
Parallel and multicore computing › concurrent data structures
concurrent queue |
0.2 | 1 | 2013 | Brief announcement: an asymmetric flat-combining based queue algorithm · PODC 2013 |
Parallel and multicore computing
parallel programming models |
0.0 | 1 | 2013 | Brief announcement: an asymmetric flat-combining based queue algorithm · PODC 2013 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Brief announcement: an asymmetric flat-combining based queue algorithmabstractWe present asymmetric flat-combining, an extension of flat-combining in which the behavior of producers and consumers differs, and use it to implement a linearizable FIFO queue. Unlike a at-combining queue where all queue operations are blocking, in our algorithm enqueue operations are wait-free. Moreover, non-combiner threads performing dequeue operations are able to share the computational load instead of just waiting. Our experimental evaluation shows that the new queue algorithm outperforms the at combining queue and other state of the art queue implementations for most producer-consumer workloads while allowing producer threads to operate in a wait-free manner. Michael Gorelik, Danny Hendler |
PODC | 1 |