Abstract—Programmers today face a bewildering array of parallel programming models and tools, making it difficult to choose an appropriate one for each application. The present study focuses on the task centric approach and compares several popular systems, including Cilk Plus, TBB and various imple-mentations of OpenMP 3.0. We analyse their performance on the BOTS benchmark suite both on a 48 core Magny Cours server and a 64 core TILEPro64 embedded manycore processor
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceThe architecture of supercomputers is evolving to expose massive parallelism. ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The parallel programming community is witnessing two main trends - the growing popularity of task-ba...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
Traditional parallel applications have exploited regular parallelism, based on parallel loops. Only ...
Nowadays, shared-memory parallel architectures have evolved and new programming frameworks have appe...
Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—are well established ...
The concept of task already exists in many parallel programming models. Programmers express parallel...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceThe architecture of supercomputers is evolving to expose massive parallelism. ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The parallel programming community is witnessing two main trends - the growing popularity of task-ba...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
Traditional parallel applications have exploited regular parallelism, based on parallel loops. Only ...
Nowadays, shared-memory parallel architectures have evolved and new programming frameworks have appe...
Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—are well established ...
The concept of task already exists in many parallel programming models. Programmers express parallel...
Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well establ...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceThe architecture of supercomputers is evolving to expose massive parallelism. ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...