activity
20182021
most citedReconfigurable Broadcast Networks and Asynchronous Shared-Memory Systems are Equivalent

2 citations · 3 across the 3 of their papers we have counts for

collaborators

8 papers

cs.LO20212 cited

Reconfigurable Broadcast Networks and Asynchronous Shared-Memory Systems are Equivalent

A. R. Balasubramanian, Chana Weil-Kennedy

We show the equivalence of two distributed computing models, namely reconfigurable broadcast networks (RBN) and asynchronous shared-memory systems (ASMS), that were introduced inde…

cs.LO2021

Reconfigurable Broadcast Networks and Asynchronous Shared-Memory Systems are Equivalent (Long Version)

A. R. Balasubramanian, Chana Weil-Kennedy

We show the equivalence of two distributed computing models, namely reconfigurable broadcast networks (RBN) and asynchronous shared-memory systems (ASMS), that were introduced inde…

cs.LO20211 cited

Decidability and Complexity in Weakening and Contraction Hypersequent Substructural Logics

A. R. Balasubramanian, Timo Lang, Revantha Ramanayake

We establish decidability for the infinitely many axiomatic extensions of the commutative Full Lambek logic with weakening FLew (i.e. IMALLW) that have a cut-free hypersequent proo…

cs.FL2021

Adaptive Synchronisation of Pushdown Automata

A. R. Balasubramanian, K. S. Thejaswini

We introduce the notion of adaptive synchronisation for pushdown automata, in which there is an external observer who has no knowledge about the current state of the pushdown autom…

cs.LO2020

Characterizing consensus in the Heard-Of model

A. R. Balasubramanian, Igor Walukiewicz

The Heard-Of model is a simple and relatively expressive model of distributed computation. Because of this, it has gained a considerable attention of the verification community. We…

cs.LO2019

Complexity of controlled bad sequences over finite sets of

A. R. Balasubramanian

We provide upper and lower bounds for the length of controlled bad sequences over the majoring and the minoring orderings of finite sets of . The results are obtained…