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Umang Mathur

University of Illinois at Urbana-Champaign

24 papers hereh-index 17785 citations67 works total

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

author position
  • first author10
  • middle author12
  • last author2

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.PL16
  • cs.LO4
  • cs.FL2
  • cs.SE2
affiliations
  • University of Illinois at Urbana-Champaign
Homepage
same name
  • Umang Mathur — 8 papers, h 3
  • Umang Mathur — 4 papers, h 1
  • Umang Mathur — 4 papers, h 2

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
20132025
most citedAtomicity Checking in Linear Time using Vector Clocks

26 citations · 106 across the 19 of their papers we have counts for

collaborators
Showing 2023 · cs.PLShow all

4 papers · 2 filters

cs.PL2023

How Hard is Weak-Memory Testing?

Soham Chakraborty, Shankaranarayanan Krishna, Umang Mathur +1

Weak-memory models are standard formal specifications of concurrency across hardware, programming languages, and distributed systems. A fundamental computational problem is consist…

cs.PL2023★ 11 cited

Predictive Monitoring against Pattern Regular Languages

Zhendong Ang, Umang Mathur

In this paper, we focus on the problem of dynamically analysing concurrent software against high-level temporal specifications. Existing techniques for runtime monitoring against s…

cs.PL2023

Optimal Reads-From Consistency Checking for C11-Style Memory Models

Hünkar Can Tunç, Parosh Aziz Abdulla, Soham Chakraborty +3

Over the years, several memory models have been proposed to capture the subtle concurrency semantics of C/C++.One of the most fundamental problems associated with a memory model M…

cs.PL2023★ 1 cited

Sound Dynamic Deadlock Prediction in Linear Time

Hünkar Can Tunç, Umang Mathur, Andreas Pavlogiannis +1

Deadlocks are one of the most notorious concurrency bugs, and significant research has focused on detecting them efficiently. Dynamic predictive analyses work by observing concurre…

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