With the addition of the OpenMP* tasking model, programmers are able to improve and extend the parallelization opportunities of their codes. Programmers can also distribute the creation of tasks using a worksharing construct, which allows the generation of work to be parallelized. However, while it is possible to create tasks inside worksharing constructs, it is not possible to distribute work when not all threads reach the same worksharing construct. We propose a new worksharing-like construct that removes this restriction: the taskloop construct. With this new construct, we can distribute work when executing in the context of an explicit task, a single, or a master construct, enabling us to explore new parallelization opportunities in our...
Shared memory programming models usually provide worksharing and task constructs. The former relies ...
Loop-based parallelism is a common in scientific codes. OpenMP proposes such work-sharing construct ...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
With the addition of the OpenMP* tasking model, programmers are able to improve and extend the paral...
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has alway...
Tasking promises a model to program parallel applications that provides intuitive semantics. In the ...
OpenMP is an application programmer interface that provides a parallel program- ming model that has ...
This paper presents a novel proposal to define task parallelism in OpenMP. Task parallelism has been...
In order to improve its expressivity with respect to unstructured parallelism, OpenMP 3.0 introduced...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Abstract. This paper presents a novel proposal to define task paral-lelism in OpenMP. Task paralleli...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Abstract. The OpenMP standard was conceived to parallelize dense array-based applications, and it ha...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Shared memory programming models usually provide worksharing and task constructs. The former relies ...
Loop-based parallelism is a common in scientific codes. OpenMP proposes such work-sharing construct ...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
With the addition of the OpenMP* tasking model, programmers are able to improve and extend the paral...
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has alway...
Tasking promises a model to program parallel applications that provides intuitive semantics. In the ...
OpenMP is an application programmer interface that provides a parallel program- ming model that has ...
This paper presents a novel proposal to define task parallelism in OpenMP. Task parallelism has been...
In order to improve its expressivity with respect to unstructured parallelism, OpenMP 3.0 introduced...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Abstract. This paper presents a novel proposal to define task paral-lelism in OpenMP. Task paralleli...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Abstract. The OpenMP standard was conceived to parallelize dense array-based applications, and it ha...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Shared memory programming models usually provide worksharing and task constructs. The former relies ...
Loop-based parallelism is a common in scientific codes. OpenMP proposes such work-sharing construct ...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...