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20182021
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cs.PL2021

Dynamic Data-Race Detection through the Fine-Grained Lens

Rucha Kulkarni, Umang Mathur, Andreas Pavlogiannis

Data races are among the most common bugs in concurrency. The standard approach to data-race detection is via dynamic analyses, which work over executions of concurrent programs, i…

cs.PL2020

Optimal Prediction of Synchronization-Preserving Races

Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan

Concurrent programs are notoriously hard to write correctly, as scheduling nondeterminism introduces subtle errors that are both hard to detect and to reproduce. The most common co…

cs.PL2020

Atomicity Checking in Linear Time using Vector Clocks

Umang Mathur, Mahesh Viswanathan

Multi-threaded programs are challenging to write. Developers often need to reason about a prohibitively large number of thread interleavings to reason about the behavior of softwar…

cs.PL2019

What's Decidable About Program Verification Modulo Axioms?

Umang Mathur, P. Madhusudan, Mahesh Viswanathan

We consider the decidability of the verification problem of programs \emph{modulo axioms} --- that is, verifying whether programs satisfy their assertions, when the functions and r…

cs.PL2019

Decidable Synthesis of Programs with Uninterpreted Functions

Paul Krogmeier, Umang Mathur, Adithya Murali +2

We identify a decidable synthesis problem for a class of programs of unbounded size with conditionals and iteration that work over infinite data domains. The programs in our class…

cs.PL2019

Deciding Memory Safety for Single-Pass Heap-Manipulating Programs

Umang Mathur, Adithya Murali, Paul Krogmeier +2

We investigate the decidability of automatic program verification for programs that manipulate heaps, and in particular, decision procedures for proving memory safety for them. We…