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What and Who

Automated Reasoning under Weak Memory Consistency

Michalis Kokologiannakis
Max Planck Institute for Software Systems
SWS Student Defense Talks - Thesis Defense
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Thursday, 14 December 2023
16:00
60 Minutes
G26
111
Kaiserslautern

Abstract

Weak memory consistency models capture the outcomes of concurrent programs that appear in practice and yet cannot be explained by thread interleavings. Such outcomes pose two major challenges to formal methods.  First, establishing that a memory model satisfies its intended properties (e.g., supports a certain compilation scheme) is extremely error-prone: most proposed language models were initially broken and required multiple iterations to achieve soundness.  Second, weak memory models make verification of concurrent programs much harder, as a result of which there are no scalable verification techniques beyond a few that target very simple models.

In this talk, I present solutions to both of these problems. First, I show that the relevant meta-theory of weak memory models can be effectively decided (sparing years of manual proof efforts), and present Kater, a tool that can answer such queries in a matter of seconds.  Second, I present GenMC, the first  scalable stateless model checker that is parametric in the choice of the memory model, often improving the prior state of the art by orders of magnitude.

Contact

Susanne Girard
+49 631 9303 9605
--email hidden

Video Broadcast

Yes
Saarbrücken
E1 5
029
Cisco Webex
passcode not visible
logged in users only

Susanne Girard, 12/05/2023 10:49 -- Created document.