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Dmitry Khalanskiy

dblp:307/3138 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0009-4803-5740ORCID · reported

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

Software engineering, systems software and programming languages · 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 · 83% Program verification · 8% Runtime systems and virtual machines · 8%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Concurrent programming › synchronization
mutex lock
0.712023
CQS: A Formally-Verified Framework for Fair and Abortable Synchronization · Proc. ACM Program. Lang. 2023
Concurrent programming
synchronization
0.712023
CQS: A Formally-Verified Framework for Fair and Abortable Synchronization · Proc. ACM Program. Lang. 2023
Concurrent programming › synchronization
synchronization primitives
0.712023
CQS: A Formally-Verified Framework for Fair and Abortable Synchronization · Proc. ACM Program. Lang. 2023
Program verification
formal proof
0.212023
CQS: A Formally-Verified Framework for Fair and Abortable Synchronization · Proc. ACM Program. Lang. 2023

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

iris framework · 0.7formal verification · 0.7
YearPublicationVenuePosition
2023 CQS: A Formally-Verified Framework for Fair and Abortable Synchronization
abstract
Writing concurrent code that is both correct and efficient is notoriously difficult. Thus, programmers often prefer to use synchronization abstractions, which render code simpler and easier to reason about. Despite a wealth of work on this topic, there is still a gap between the rich semantics provided by synchronization abstractions in modern programming languages—specifically, fair FIFO ordering of synchronization requests and support for abortable operations—and frameworks for implementing it correctly and efficiently. Supporting such semantics is critical given the rising popularity of constructs for asynchronous programming, such as coroutines, which abort frequently and are cheaper to suspend and resume compared to native threads. This paper introduces a new framework called CancellableQueueSynchronizer (CQS), which enables simple yet efficient implementations of a wide range of fair and abortable synchronization primitives: mutexes, semaphores, barriers, count-down latches, and blocking pools. Our main contribution is algorithmic, as implementing both fairness and abortability efficiently at this level of generality is non-trivial. Importantly, all our algorithms, including the CQS framework and the primitives built on top of it, come with formal proofs in the Iris framework for Coq for many of their properties. These proofs are modular, so it is easy to show correctness for new primitives implemented on top of CQS. From a practical perspective, implementation of CQS for native threads on the JVM improves throughput by up to two orders of magnitude over Java’s AbstractQueuedSynchronizer, the only practical abstraction offering similar semantics. Further, we successfully integrated CQS as a core component of the popular Kotlin Coroutines library, validating the framework’s practical impact and expressiveness in a real-world environment. In sum, CancellableQueueSynchronizer is the first framework to combine expressiveness with formal guarantees and solid practical performance. Our approach should be extensible to other languages and families of synchronization primitives.
Nikita Koval, Dmitry Khalanskiy, Dan Alistarh
Proc. ACM Program. Lang.2