Several performance analysis tools support hybrid applications. Most originated as MPI profiling or tracing tools and OpenMP capabilities were added to extend the performance analysis capabilities for the hybrid parallelization case. In this paper we describe our experience with the other path to support both programming paradigms. Our starting point is a profiling tool for OpenMP called ompP that was extended to handle MPI related data. The measured data and the method of presentation follow our focus on the OpenMP side of the performance optimization cycle. For example, the existing overhead classification scheme of ompP was extended to cover time in MPI calls as a new type of overhead
Abstract—Chip multiprocessors (CMP) are w idely used for high performance computing and are being co...
The hybrid programming model MPI+OpenMP are useful to solve the problems of load balancing of parall...
The mixed-mode OpenMP and MPI programming models in parallel application have significant impact on ...
The EXPERT performance-analysis environment provides a complete tracing-based solution for automatic...
AbstractOpenMP is a successful approach to writing threaded parallel applications. This article desc...
Abstract. This paper proposes a performance tools interface for OpenMP, similar in spirit to the MPI...
This paper deals with the performance prediction of hybrid MPI/OpenMP code. The use of HeSSE (Hetero...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
This paper deals with the performance prediction of hybrid OpenMP/MPI code. After a brief overview o...
Abstract. The Hybrid method of parallelization (using MPI for inter-node communication and OpenMP fo...
We have developed an environment, based upon robust, existing, open source software, for tuning appl...
In this paper we show, through a case-study, how the adoption of the MPI model for the distributed p...
The mixing of shared memory and message passing programming models within a single application has o...
Clusters of symmetric multiprocessors (SMPs) are the most currently used architecture for large scal...
Parallelism has become more and more commonplace with the advent of the multicore processors. Althou...
Abstract—Chip multiprocessors (CMP) are w idely used for high performance computing and are being co...
The hybrid programming model MPI+OpenMP are useful to solve the problems of load balancing of parall...
The mixed-mode OpenMP and MPI programming models in parallel application have significant impact on ...
The EXPERT performance-analysis environment provides a complete tracing-based solution for automatic...
AbstractOpenMP is a successful approach to writing threaded parallel applications. This article desc...
Abstract. This paper proposes a performance tools interface for OpenMP, similar in spirit to the MPI...
This paper deals with the performance prediction of hybrid MPI/OpenMP code. The use of HeSSE (Hetero...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
This paper deals with the performance prediction of hybrid OpenMP/MPI code. After a brief overview o...
Abstract. The Hybrid method of parallelization (using MPI for inter-node communication and OpenMP fo...
We have developed an environment, based upon robust, existing, open source software, for tuning appl...
In this paper we show, through a case-study, how the adoption of the MPI model for the distributed p...
The mixing of shared memory and message passing programming models within a single application has o...
Clusters of symmetric multiprocessors (SMPs) are the most currently used architecture for large scal...
Parallelism has become more and more commonplace with the advent of the multicore processors. Althou...
Abstract—Chip multiprocessors (CMP) are w idely used for high performance computing and are being co...
The hybrid programming model MPI+OpenMP are useful to solve the problems of load balancing of parall...
The mixed-mode OpenMP and MPI programming models in parallel application have significant impact on ...