In this paper, we present the compiler transformation of OpenMP code to an ordered collection of tasks, and the compile-time as well as runtime mapping of the resulting task graph to threads for data reuse. The ordering of tasks is relaxed where possible so that the code may be executed in a more loosely synchronous fashion. Our current implementation uses a runtime system that permits tasks to begin execution as soon as their predecessors have completed. A comparison of the performance of two example programs in their original OpenMP form and in the code form resulting from our translation is encouraging.
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, m...
OpenMP is an application programmer interface that provides a parallel program- ming model that has ...
In order to improve its expressivity with respect to unstructured parallelism, OpenMP 3.0 introduced...
This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to d...
Tasking is the most significant feature included in the new OpenMP 3.0 standard. It was introduced t...
Abstract. OpenMP 3.0 introduced the concept of asynchronous tasks, independent units of work that ma...
We have developed compiler optimization techniques for explicit parallel programs using the OpenMP A...
With the addition of the OpenMP* tasking model, programmers are able to improve and extend the paral...
The OpenMP Application Programming Interface (API) is an emerging standard for parallel programming ...
Abstract—Synchronous languages offer a deterministic model of concurrency at the level of actions. H...
Parallel task-based programming models, like OpenMP, allow application developers to easily create a...
In this paper we explore the possibility of reusing schedules to improve the scalability of numerica...
Loop-based parallelism is a common in scientific codes. OpenMP proposes such work-sharing construct ...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, m...
OpenMP is an application programmer interface that provides a parallel program- ming model that has ...
In order to improve its expressivity with respect to unstructured parallelism, OpenMP 3.0 introduced...
This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to d...
Tasking is the most significant feature included in the new OpenMP 3.0 standard. It was introduced t...
Abstract. OpenMP 3.0 introduced the concept of asynchronous tasks, independent units of work that ma...
We have developed compiler optimization techniques for explicit parallel programs using the OpenMP A...
With the addition of the OpenMP* tasking model, programmers are able to improve and extend the paral...
The OpenMP Application Programming Interface (API) is an emerging standard for parallel programming ...
Abstract—Synchronous languages offer a deterministic model of concurrency at the level of actions. H...
Parallel task-based programming models, like OpenMP, allow application developers to easily create a...
In this paper we explore the possibility of reusing schedules to improve the scalability of numerica...
Loop-based parallelism is a common in scientific codes. OpenMP proposes such work-sharing construct ...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, m...