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researcher

N. Koval

7 papers hereh-index 677 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DS5
  • cs.DC1
  • cs.PL1
same name
  • N. Koval — 11 papers, h 10
  • N. Koval — 1 paper, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedEfficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers

4 citations · 4 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.PL2021

CQS: A Formally-Verified Framework for Fair and Abortable Synchronization

Nikita Koval, Dmitry Khalanskiy, Dan Alistarh

Writing concurrent code that is both correct and efficient is notoriously difficult. Thus, programmers often prefer to use synchronization abstractions, which render code simpler a…

cs.DS2021

Multi-Queues Can Be State-of-the-Art Priority Schedulers

Anastasiia Postnikova, Nikita Koval, Giorgi Nadiradze +1

Designing and implementing efficient parallel priority schedulers is an active research area. An intriguing proposed design is the Multi-Queue: given n threads and m≥n disti…

cs.DS2021

A Scalable Concurrent Algorithm for Dynamic Connectivity

Alexander Fedorov, Nikita Koval, Dan Alistarh

Dynamic Connectivity is a fundamental algorithmic graph problem, motivated by a wide range of applications to social and communication networks and used as a building block in vari…

cs.DC2021

Memory Bounds for Concurrent Bounded Queues

Vitaly Aksenov, Nikita Koval, Petr Kuznetsov +1

Concurrent data structures often require additional memory for handling synchronization issues in addition to memory for storing elements. Depending on the amount of this additiona…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.