OpenMP is in the process of adding a tasking model that allows the programmer to specify independent units of work, called tasks, but does not specify how the scheduling of these tasks should be done (although it imposes some restrictions). We have evaluated different scheduling strategies (schedulers and cut-offs) with several applications and we found that work-first schedules seem to have the best performance but because of the restrictions that OpenMP imposes a breadth-first scheduler is a better choice to have as a default for an OpenMP runtime.Peer Reviewe
Parallel loops are an important part of OpenMP programs. Efficient scheduling of parallel loops can ...
OpenMP tasking supports parallelization of irregular algorithms. Recent OpenMP specifications extend...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
OpenMP is in the process of adding a tasking model that allows the programmer to specify independent...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing...
Choosing the appropriate assignment of loop iterations to threads is one of the most important decis...
The recent addition of task parallelism to the OpenMP shared memory API allows programmers to expres...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
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...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
Parallel loops are an important part of OpenMP programs. Efficient scheduling of parallel loops can ...
OpenMP tasking supports parallelization of irregular algorithms. Recent OpenMP specifications extend...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
OpenMP is in the process of adding a tasking model that allows the programmer to specify independent...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing...
Choosing the appropriate assignment of loop iterations to threads is one of the most important decis...
The recent addition of task parallelism to the OpenMP shared memory API allows programmers to expres...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
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...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
Parallel loops are an important part of OpenMP programs. Efficient scheduling of parallel loops can ...
OpenMP tasking supports parallelization of irregular algorithms. Recent OpenMP specifications extend...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...