Shared memory concurrency is the pervasive programming model for multicore architectures such as x86, Power, and ARM. Depending on the memory organization, each architecture follows a somewhat different shared memory model. All these models, however, have one common feature: they allow certain outcomes for concurrent programs that cannot be explained by interleaving execution. In addition to the complexity due to architectures, compilers like GCC and LLVM perform various program transformations, which also affect the outcomes of concurrent programs. To be able to program these systems correctly and effectively, it is important to define a formal language-level concurrency model. For efficiency, it is important that the model is wea...
A memory model for a concurrent imperative programming lan-guage specifies which writes to shared va...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
The upcoming C and C++ revised standards add concurrency to the languages, for the first time, in th...
International audienceIn this article, we consider the semantic design and verified compilation of a...
Shared-memory concurrency in C and C++ is pervasive in systems programming, but has long been poorly...
There is a broad design space for concurrent computer processors: they can be optimized for low powe...
Previous work on the semantics of relaxed shared-memory concurrency has only considered the case in ...
Despite decades of research, we do not have a satisfactory concurrency semantics for any general-pur...
Copyright is held by the owner/author(s). Despite much research on concurrent programming languages,...
The most intuitive memory model for shared-memory multi-threaded programming is sequenti...
The most intuitive memory model for shared-memory multi-threaded programming is sequenti...
A memory model for a concurrent imperative programming language specifies which writes to shared var...
Concurrent programming is notoriously difficult, but with multi-core processors becoming the norm, i...
Previous work on the semantics of relaxed shared-memory concurrency has only considered the case in ...
A memory model for a concurrent imperative programming lan-guage specifies which writes to shared va...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
The upcoming C and C++ revised standards add concurrency to the languages, for the first time, in th...
International audienceIn this article, we consider the semantic design and verified compilation of a...
Shared-memory concurrency in C and C++ is pervasive in systems programming, but has long been poorly...
There is a broad design space for concurrent computer processors: they can be optimized for low powe...
Previous work on the semantics of relaxed shared-memory concurrency has only considered the case in ...
Despite decades of research, we do not have a satisfactory concurrency semantics for any general-pur...
Copyright is held by the owner/author(s). Despite much research on concurrent programming languages,...
The most intuitive memory model for shared-memory multi-threaded programming is sequenti...
The most intuitive memory model for shared-memory multi-threaded programming is sequenti...
A memory model for a concurrent imperative programming language specifies which writes to shared var...
Concurrent programming is notoriously difficult, but with multi-core processors becoming the norm, i...
Previous work on the semantics of relaxed shared-memory concurrency has only considered the case in ...
A memory model for a concurrent imperative programming lan-guage specifies which writes to shared va...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...