International audienceCheckpointing-Aided Parallel Execution (CAPE) is a framework that is based on checkpointing technique and serves to automatically translates and execute OpenMP programs on distributed-memory architectures. In some comparisons with MPI, CAPE have demonstrated high-performance and the potential for fully compatibility with OpenMP on distributed-memory systems. However, it should be continued to improve the performance, flexibility, portability and capability. This paper presents the new execution model for CAPE that improves its performance and makes CAPE even more flexibl
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
International audienceMPI (Message Passing Interface) and OpenMP are two tools broadly used to devel...
International audienceCheckpointing Aided Parallel Execution (CAPE) is the paradigm we developed to ...
International audienceMPI (Message Passing Interface), OpenMP are two tools broadly used to develop ...
In order to explore further the capabilities of parallel computing architectures such as grids, clus...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
As part of the Joint CSCS--ETH/NEC Collaboration in Parallel Processing, we are currently developing...
This paper presents a new parallel programming environment called ParADE to enable easy, portable, ...
The aim of this paper is to present a qualitative evaluation of three state-of-the-art parallel lang...
The demand for large compute capabilities in scientific computing led to wide use and acceptance of ...
It has become common knowledge that parallel programming is needed for scientific applications, part...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
OpenMP and MPI have become the standard tools to develop parallel programs on shared-memory and dist...
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
International audienceMPI (Message Passing Interface) and OpenMP are two tools broadly used to devel...
International audienceCheckpointing Aided Parallel Execution (CAPE) is the paradigm we developed to ...
International audienceMPI (Message Passing Interface), OpenMP are two tools broadly used to develop ...
In order to explore further the capabilities of parallel computing architectures such as grids, clus...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
As part of the Joint CSCS--ETH/NEC Collaboration in Parallel Processing, we are currently developing...
This paper presents a new parallel programming environment called ParADE to enable easy, portable, ...
The aim of this paper is to present a qualitative evaluation of three state-of-the-art parallel lang...
The demand for large compute capabilities in scientific computing led to wide use and acceptance of ...
It has become common knowledge that parallel programming is needed for scientific applications, part...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
OpenMP and MPI have become the standard tools to develop parallel programs on shared-memory and dist...
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...