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ORCIDUmang Mathur 0001
Person information
- affiliation: National University of Singapore
- affiliation (former): University of Illinois at Urbana Champaign, IL, USA
- affiliation (former): Facebook, Inc., USA
Other persons with the same name
- Umang Mathur 0002 — San Francisco State University, San Francisco, CA, USA
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2020 – today
- 2024
[j12]Azadeh Farzan
, Umang Mathur:
Coarser Equivalences for Causal Concurrency. Proc. ACM Program. Lang. 8(POPL): 911-941 (2024)- [j11]Soham Chakraborty, Shankara Narayanan Krishna, Umang Mathur, Andreas Pavlogiannis:
How Hard Is Weak-Memory Testing? Proc. ACM Program. Lang. 8(POPL): 1978-2009 (2024) - [j10]Zhendong Ang, Umang Mathur:
Predictive Monitoring against Pattern Regular Languages. Proc. ACM Program. Lang. 8(POPL): 2191-2225 (2024) - [c18]Qiyuan Zhao, George Pîrlea, Zhendong Ang, Umang Mathur, Ilya Sergey:
Rooting for Efficiency: Mechanised Reasoning about Array-Based Trees in Separation Logic. CPP 2024: 45-59 - [i22]Zheng Shi, Umang Mathur, Andreas Pavlogiannis:
Optimistic Prediction of Synchronization-Reversal Data Races. CoRR abs/2401.05642 (2024) - 2023
- [j9]Hünkar Can Tunç, Parosh Aziz Abdulla, Soham Chakraborty, Shankaranarayanan Krishna, Umang Mathur, Andreas Pavlogiannis:
Optimal Reads-From Consistency Checking for C11-Style Memory Models. Proc. ACM Program. Lang. 7(PLDI): 761-785 (2023) - [j8]Hünkar Can Tunç, Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
Sound Dynamic Deadlock Prediction in Linear Time. Proc. ACM Program. Lang. 7(PLDI): 1733-1758 (2023) - [j7]Mosaad Al Thokair, Minjian Zhang, Umang Mathur, Mahesh Viswanathan:
Dynamic Race Detection with O(1) Samples. Proc. ACM Program. Lang. 7(POPL): 1308-1337 (2023) - [i21]Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç, Mahesh Viswanathan:
Sound Dynamic Deadlock Prediction in Linear Time. CoRR abs/2304.03692 (2023) - [i20]Parosh Aziz Abdulla, Soham Chakraborty, Shankaranarayanan Krishna, Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç:
Optimal Reads-From Consistency Checking for C11-Style Memory Models. CoRR abs/2304.03714 (2023) - [i19]Zhendong Ang, Umang Mathur:
Predictive Monitoring against Pattern Regular Languages. CoRR abs/2310.14611 (2023) - [i18]Soham Chakraborty, Shankaranarayanan Krishna, Umang Mathur, Andreas Pavlogiannis:
How Hard is Weak-Memory Testing? CoRR abs/2311.04302 (2023) - [i17]Kuldeep S. Meel, Sourav Chakraborty, Umang Mathur:
A faster FPRAS for #NFA. CoRR abs/2312.13320 (2023) - 2022
- [j6]Chuchu Fan, Zengyi Qin, Umang Mathur, Qiang Ning, Sayan Mitra, Mahesh Viswanathan:
Controller Synthesis for Linear System With Reach-Avoid Specifications. IEEE Trans. Autom. Control. 67(4): 1713-1727 (2022) - [c17]Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç, Mahesh Viswanathan:
A tree clock data structure for causal orderings in concurrent executions. ASPLOS 2022: 710-725 - [c16]Umang Mathur, Andreas Pavlogiannis:
Dynamic data race prediction: fundamentals, theory, and practice (tutorial). ESEC/SIGSOFT FSE 2022: 1820 - [i16]Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç, Mahesh Viswanathan:
A Tree Clock Data Structure for Causal Orderings in Concurrent Executions. CoRR abs/2201.06325 (2022) - [i15]Azadeh Farzan, Umang Mathur:
Coarser Equivalences for Concurrent Program Runs. CoRR abs/2208.12117 (2022) - 2021
- [j5]Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
Optimal prediction of synchronization-preserving races. Proc. ACM Program. Lang. 5(POPL): 1-29 (2021) - [c15]Rucha Kulkarni, Umang Mathur, Andreas Pavlogiannis:
Dynamic Data-Race Detection Through the Fine-Grained Lens. CONCUR 2021: 16:1-16:23 - [c14]Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra:
Scalable Statistical Root Cause Analysis on App Telemetry. ICSE (SEIP) 2021: 288-297 - [c13]Minjian Zhang, Umang Mathur, Mahesh Viswanathan:
Checking LTL[F, G, X] on compressed traces in polynomial time. ESEC/SIGSOFT FSE 2021: 131-143 - [i14]Rucha Kulkarni, Umang Mathur, Andreas Pavlogiannis:
Dynamic Data-Race Detection through the Fine-Grained Lens. CoRR abs/2107.03569 (2021) - 2020
- [j4]Umang Mathur, Matthew S. Bauer, Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan:
Exact quantitative probabilistic model checking through rational search. Formal Methods Syst. Des. 56(1): 90-126 (2020) - [j3]Umang Mathur, Adithya Murali, Paul Krogmeier, P. Madhusudan, Mahesh Viswanathan:
Deciding memory safety for single-pass heap-manipulating programs. Proc. ACM Program. Lang. 4(POPL): 35:1-35:29 (2020) - [c12]Umang Mathur, Mahesh Viswanathan:
Atomicity Checking in Linear Time using Vector Clocks. ASPLOS 2020: 183-199 - [c11]Paul Krogmeier, Umang Mathur, Adithya Murali, P. Madhusudan, Mahesh Viswanathan:
Decidable Synthesis of Programs with Uninterpreted Functions. CAV (2) 2020: 634-657 - [c10]Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
The Complexity of Dynamic Data Race Prediction. LICS 2020: 713-727 - [c9]Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
What's Decidable About Program Verification Modulo Axioms? TACAS (2) 2020: 158-177 - [i13]Umang Mathur, Mahesh Viswanathan:
Atomicity Checking in Linear Time using Vector Clocks. CoRR abs/2001.04961 (2020) - [i12]Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
The Complexity of Dynamic Data Race Prediction. CoRR abs/2004.14931 (2020) - [i11]Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra:
Scalable Statistical Root Cause Analysis on App Telemetry. CoRR abs/2010.09974 (2020) - [i10]Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
Optimal Prediction of Synchronization-Preserving Races. CoRR abs/2010.16385 (2020)
2010 – 2019
- 2019
- [j2]Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
Decidable verification of uninterpreted programs. Proc. ACM Program. Lang. 3(POPL): 46:1-46:29 (2019) - [i9]Umang Mathur, Adithya Murali, Paul Krogmeier, P. Madhusudan, Mahesh Viswanathan:
Deciding Memory Safety for Forest Datastructures. CoRR abs/1907.00298 (2019) - [i8]Paul Krogmeier, Umang Mathur, Adithya Murali, P. Madhusudan, Mahesh Viswanathan:
Decidable Synthesis of Programs with Uninterpreted Functions. CoRR abs/1910.09744 (2019) - [i7]Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
What's Decidable About Program Verification Modulo Axioms? CoRR abs/1910.10889 (2019) - 2018
- [j1]Umang Mathur, Dileep Kini, Mahesh Viswanathan:
What happens-after the first race? enhancing the predictive power of happens-before based dynamic race detection. Proc. ACM Program. Lang. 2(OOPSLA): 145:1-145:29 (2018) - [c8]Chuchu Fan, Umang Mathur, Sayan Mitra, Mahesh Viswanathan:
Controller Synthesis Made Real: Reach-Avoid Specifications and Linear Dynamics. CAV (1) 2018: 347-366 - [c7]P. Madhusudan, Umang Mathur, Shambwaditya Saha, Mahesh Viswanathan:
A Decidable Fragment of Second Order Logic With Applications to Synthesis. CSL 2018: 31:1-31:19 - [c6]Dileep Kini, Umang Mathur, Mahesh Viswanathan:
Data race detection on compressed traces. ESEC/SIGSOFT FSE 2018: 26-37 - [i6]Dileep Kini, Umang Mathur, Mahesh Viswanathan:
Data Race Detection on Compressed Traces. CoRR abs/1807.08427 (2018) - [i5]Umang Mathur, Dileep Kini, Mahesh Viswanathan:
What Happens - After the First Race? Enhancing the Predictive Power of Happens - Before Based Dynamic Race Detection. CoRR abs/1808.00185 (2018) - [i4]Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
Decidable Verification of Uninterpreted Programs. CoRR abs/1811.00192 (2018) - 2017
- [c5]Adrià Gascón, Ashish Tiwari, Brent Carmer, Umang Mathur:
Look for the Proof to Find the Program: Decorated-Component-Based Program Synthesis. CAV (2) 2017: 86-103 - [c4]Matthew S. Bauer, Umang Mathur, Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan:
Exact quantitative probabilistic model checking through rational search. FMCAD 2017: 92-99 - [c3]Dileep Kini, Umang Mathur, Mahesh Viswanathan:
Dynamic race prediction in linear time. PLDI 2017: 157-170 - [i3]Dileep Kini, Umang Mathur, Mahesh Viswanathan:
Dynamic Race Prediction in Linear Time. CoRR abs/1704.02432 (2017) - [i2]P. Madhusudan, Umang Mathur, Shambwaditya Saha, Mahesh Viswanathan:
A Decidable Fragment of Second Order Logic With Applications to Synthesis. CoRR abs/1712.05513 (2017) - 2014
- [c2]Shankara Narayanan Krishna, Umang Mathur, Ashutosh Trivedi:
Weak Singular Hybrid Automata. FORMATS 2014: 161-175 - [c1]Rohit Chadha, Umang Mathur, Stefan Schwoon:
Computing Information Flow Using Symbolic Model-Checking. FSTTCS 2014: 505-516 - 2013
- [i1]Shankara Narayanan Krishna, Umang Mathur, Ashutosh Trivedi:
Weak Singular Hybrid Automata. CoRR abs/1311.3826 (2013)
Coauthor Index
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last updated on 2024-02-12 22:43 CET by the dblp team
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