From 5111132e71251b38fc9d274191fb730d42faa2b7 Mon Sep 17 00:00:00 2001
From: Teresa Carbajo-Garcia <t.carbajo-garcia@imperial.ac.uk>
Date: Tue, 5 Oct 2021 10:34:47 +0000
Subject: [PATCH] Update publications.bib
---
publications.bib | 20 --------------------
1 file changed, 20 deletions(-)
diff --git a/publications.bib b/publications.bib
index 5bdeeca..c3fc371 100644
--- a/publications.bib
+++ b/publications.bib
@@ -1825,26 +1825,6 @@ correctness of several essential properties of the module, and discovering two s
previously unknown bugs.},
}
-@Article{DOsualdo2020TaDa,
-author = {Emanuele D'Osualdo and
- Azadeh Farzan and
- Philippa Gardner and
- Julian Sutherland},
-title = {TaDA Live: Compositional Reasoning for Termination of Fine-grained
- Concurrent Programs},
-journal = {ACM Transactions on Programming Languages and Systems (TOPLAS), submitted Jan 2020; accepted 2021.},
-year = {2021},
-abstract = {We present TaDA Live, a concurrent separation logic for reasoning compositionally about the termination of
-blocking fine-grained concurrent programs. The crucial challenge is how to deal with abstract atomic blocking:
-that is, abstract atomic operations that have blocking behaviour arising from busy-waiting patterns as found in,
-for example, fine-grained spin locks. Our fundamental innovation is with the design of abstract specifications
-that capture this blocking behaviour as liveness assumptions on the environment. We design a logic that
-can reason about the termination of clients which use such operations without breaking their abstraction
-boundaries, and the correctness of the implementations of the operations with respect to their abstract
-specifications. We introduce a novel semantic model using layered subjective obligations to express liveness
-invariants, and a proof system that is sound with respect to the model. The subtlety of our specifications and
-reasoning is illustrated using several case studies.},
-}
@InProceedings{DOsualdo2020Decidable,
author = {Emanuele D'Osualdo and
Felix Stutz},
--
GitLab