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Pavel Golovin

dblp:396/4090 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0009-3990-1651ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 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.

Software engineering, system software, and programming languages
1 paper
Concurrent programming · 54% Program verification · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program verification › concurrent program verification
linearizability verification
0.912025
RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency · Proc. ACM Program. Lang. 2025
Concurrent programming
memory models
0.912025
RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency · Proc. ACM Program. Lang. 2025
Program verification
model checking
0.912025
RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency · Proc. ACM Program. Lang. 2025
Concurrent programming › memory models
weak memory models
0.912025
RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency · Proc. ACM Program. Lang. 2025
Concurrent programming
concurrent data structures
0.312025
RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency · Proc. ACM Program. Lang. 2025

Methods — techniques the papers use, named apart from their topics

refinement verification · 0.9model checking · 0.9
YearPublicationVenuePosition
2025 RELINCHE: Automatically Checking Linearizability under Relaxed Memory Consistency
abstract
Concurrent libraries implement standard data structures, such as stacks and queues, in a thread-safe manner, typically providing an atomic interface to the data structure. They serve as building blocks for concurrent programs, and incorporate advanced synchronization mechanisms to achieve good performance. In this paper, we are concerned with the problem of verifying correctness of such libraries under weak memory consistency in a fully automated fashion. To this end, we develop R elinche , a model checker that verifies atomicity and functional correctness of a concurrent library implementation in any client program that invokes the library methods up to some bounded number of times. Our tool establishes refinement between the concurrent library implementation and its atomic specification in a fully parallel client, which it then strengthens to capture all possible other (more constrained) clients of the library. R elinche scales sufficiently to verify correctness of standard concurrent library benchmarks for all client programs with up to 7–9 library method invocations, and finds minimal counterexamples with 4-7 method calls of non-trivial linearizability bugs due to weak memory consistency.
Pavel Golovin, Michalis Kokologiannakis, Viktor Vafeiadis
Proc. ACM Program. Lang.1