International audienceTask-based paradigm models can be an alternative to MPI. The user defines atomic tasks with a defined input and output with the dependencies between them. Then, the runtime can schedule the tasks and data migrations efficiently over all the available cores while reducing the waiting time between tasks. This paper focus on comparing several task-based programming models between themselves using the LU factorization as benchmark. HPX, PaRSEC, Legion and YML+XMP are task-based programming models which schedule data movement and computational tasks on distributed resources allocated to the application. YML+XMP supports parallel and distributed tasks with XscalableMP, a PGAS language. We compared their performances and scal...
Programming for large-scale computing requires programming models carefully designed for that purpos...
Today's supercomputers gain their performance through a rapidly increasing number of cores per node....
In heterogeneous clusters, different nodes may have different computing powers, so traditional paral...
International audienceTask-based paradigm models can be an alternative to MPI. The user defines atom...
International audienceIn this paper, we focus on a distributed and parallel programming paradigm for...
The need for parallel programming models that are simple to use and at the same time efficient for c...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Challenges introduced by highly hybrid many-cores architectures have a lasting impact on the portabi...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—are well established ...
Programming for large-scale computing requires programming models carefully designed for that purpos...
Today's supercomputers gain their performance through a rapidly increasing number of cores per node....
In heterogeneous clusters, different nodes may have different computing powers, so traditional paral...
International audienceTask-based paradigm models can be an alternative to MPI. The user defines atom...
International audienceIn this paper, we focus on a distributed and parallel programming paradigm for...
The need for parallel programming models that are simple to use and at the same time efficient for c...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Challenges introduced by highly hybrid many-cores architectures have a lasting impact on the portabi...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—are well established ...
Programming for large-scale computing requires programming models carefully designed for that purpos...
Today's supercomputers gain their performance through a rapidly increasing number of cores per node....
In heterogeneous clusters, different nodes may have different computing powers, so traditional paral...