The OpenMP memory model allows for a temporary view of shared memory that only needs to be made consistent when barrier or flush directives, including those that are implicit, are encountered. While this relaxed memory consistency model is key to developing cluster OpenMP implementations, it means that the memory performance of any given implementation is greatly affected by which memory is used, when it is used, and by which threads. In this work we propose a micro-benchmark that can be used to measure memory consistency costs and present results for its application to two contrasting cluster OpenMP implementations, as well as comparing these results with data obtained from a hardware supported OpenMP environment
The memory consistency model of a shared-memory multiprocessor determines the extent to which memory...
We re-visit the issue of hardware consistency models in the new context of massively-threaded throug...
Abstract. OpenMP [1] is an important API for shared memory programming, combining shared memory’s po...
Abstract. The OpenMP memory model allows for a temporary view of shared memory that only needs to be...
Cluster OpenMP enables the use of the OpenMP shared memory programming clusters. Intel has released ...
A key issue for Cluster-enabled OpenMP implemen-tations based on software Distributed Shared Memory ...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
A key issue for Cluster-enabled OpenMP implementations based on software Distributed Shared Memory (...
Exascale systems will exhibit much higher degrees of parallelism both in terms of the number of node...
Modern memory consistency models are complex, and it is difficult to reason about the relaxed behavi...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
The memory consistency model supported by a multiprocessor architecture determines the amount of buf...
The memory consistency model of a shared-memory multiprocessor determines the extent to which memory...
We re-visit the issue of hardware consistency models in the new context of massively-threaded throug...
Abstract. OpenMP [1] is an important API for shared memory programming, combining shared memory’s po...
Abstract. The OpenMP memory model allows for a temporary view of shared memory that only needs to be...
Cluster OpenMP enables the use of the OpenMP shared memory programming clusters. Intel has released ...
A key issue for Cluster-enabled OpenMP implemen-tations based on software Distributed Shared Memory ...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
A key issue for Cluster-enabled OpenMP implementations based on software Distributed Shared Memory (...
Exascale systems will exhibit much higher degrees of parallelism both in terms of the number of node...
Modern memory consistency models are complex, and it is difficult to reason about the relaxed behavi...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
The memory consistency model supported by a multiprocessor architecture determines the amount of buf...
The memory consistency model of a shared-memory multiprocessor determines the extent to which memory...
We re-visit the issue of hardware consistency models in the new context of massively-threaded throug...
Abstract. OpenMP [1] is an important API for shared memory programming, combining shared memory’s po...