International audienceThis paper defines distributed futures, a construct that provides at the same time a data container similar to a distributed vector, and a single synchronization entity that behaves similarly to a standard future. This simple construct makes it easy to program a composition, in a task-parallel way, of several massively data-parallel tasks. The approach is implemented and evaluated in the context of a bulk synchronous parallel (BSP) active object framework
International audienceFutures are special kind of values that allow the synchronisation of different...
Many programming languages support different concurrency models. In practice these models are often ...
Many modern distributed software applications require a continuous interaction between their compone...
International audienceThis paper defines distributed futures, a construct that provides at the same ...
International audienceComponents provide an easy to use programming paradigm allowing for better re-...
International audienceA natural way to benefit from distribution is via asynchronous invocations to m...
International audienceThis paper presents a new compilation scheme for futures, a concurrent program...
Many programming languages, such as Clojure, Scala, and Haskell, support different concurrency model...
Futures enable an efficient and easy to use programming paradigm for distributed applications. A fut...
International audienceA future is an entity representing the result of an ongoing computation. A syn...
Best paper award.International audienceEfficiently distributing synchronous programs is a challengin...
AbstractComponents provide an easy to use programming paradigm allowing for better re-usability of a...
International audienceThis paper is placed in the context of large scale distributed programming, pr...
Since the end of Dennard scaling, it has become evident that performance gain will come from paralle...
AbstractFutures are special kind of values that allow the synchronisation of different processes. Fu...
International audienceFutures are special kind of values that allow the synchronisation of different...
Many programming languages support different concurrency models. In practice these models are often ...
Many modern distributed software applications require a continuous interaction between their compone...
International audienceThis paper defines distributed futures, a construct that provides at the same ...
International audienceComponents provide an easy to use programming paradigm allowing for better re-...
International audienceA natural way to benefit from distribution is via asynchronous invocations to m...
International audienceThis paper presents a new compilation scheme for futures, a concurrent program...
Many programming languages, such as Clojure, Scala, and Haskell, support different concurrency model...
Futures enable an efficient and easy to use programming paradigm for distributed applications. A fut...
International audienceA future is an entity representing the result of an ongoing computation. A syn...
Best paper award.International audienceEfficiently distributing synchronous programs is a challengin...
AbstractComponents provide an easy to use programming paradigm allowing for better re-usability of a...
International audienceThis paper is placed in the context of large scale distributed programming, pr...
Since the end of Dennard scaling, it has become evident that performance gain will come from paralle...
AbstractFutures are special kind of values that allow the synchronisation of different processes. Fu...
International audienceFutures are special kind of values that allow the synchronisation of different...
Many programming languages support different concurrency models. In practice these models are often ...
Many modern distributed software applications require a continuous interaction between their compone...