OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performance computing community due to the popularity of multicore architectures in recent years. The most significant feature of the OpenMP 3.0 specification is the introduction of the task constructs to express parallelism at a much finer level of detail. This feature, however, has posed new challenges for performance monitoring and analysis. In particular, task creation is separated from its execution, causing the traditional monitoring methods to be ineffective. This paper presents a mechanism to monitor task-based OpenMP programs with interposition and proposes two demonstration graphs for performance analysis as well. The results of two experime...
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...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
International audienceThe architecture of supercomputers is evolving to expose massive parallelism. ...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceWe present a new set of tools for the language-centric performance analysis an...
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has alway...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
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...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
International audienceThe architecture of supercomputers is evolving to expose massive parallelism. ...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceWe present a new set of tools for the language-centric performance analysis an...
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has alway...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
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...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...