The Leaky Semicolon: Compositional Semantic Dependencies for Relaxed-Memory ConcurrencyInPerson
Program logics and semantics tell a pleasant story about sequential composition: when executing (S1; S2)
, we first execute S1
then S2
. To improve performance, however, processors execute instructions out of order, and compilers reorder programs even more dramatically. By design, single-threaded systems cannot observe these reorderings; however, multiple-threaded systems can, making the story considerably less pleasant. A formal attempt to understand the resulting mess is known as a ``relaxed memory model.'' Prior models either fail to address sequential composition directly, or overly restrict processors and compilers, or permit nonsense thin-air behaviors which are unobservable in practice.
To support sequential composition while targeting modern hardware, we enrich the standard event-based approach with preconditions and families of predicate transformers. When calculating the meaning of (S1;S2)
, the predicate transformer applied to the precondition of an event e
from S2
is chosen based on the set of events in S1
upon which e
depends. We apply this approach to two existing memory models.
Wed 19 JanDisplayed time zone: Eastern Time (US & Canada) change
13:30 - 14:45 | |||
13:30 25mResearch paper | The Leaky Semicolon: Compositional Semantic Dependencies for Relaxed-Memory ConcurrencyInPerson POPL Alan Jeffrey Roblox, James Riely DePaul University, Mark Batty University of Kent, Simon Cooksey University of Kent, Ilya Kaysin JetBrains Research; University of Cambridge, Anton Podkopaev HSE University DOI Media Attached | ||
13:55 25mResearch paper | Extending Intel-x86 Consistency and Persistency: Formalising the Semantics of Intel-x86 Memory Types and Non-temporal StoresRemote POPL DOI Media Attached | ||
14:20 25mResearch paper | Truly Stateless, Optimal Dynamic Partial Order ReductionRemote POPL Michalis Kokologiannakis MPI-SWS, Iason Marmanis MPI-SWS, Vladimir Gladstein MPI-SWS; St. Petersburg University; JetBrains Research, Viktor Vafeiadis MPI-SWS DOI Media Attached |