Along with the popularity of multicore and manycore, task-based dataflow programming models obtain great attention for being able to extract high parallelism from applications without exposing the complexity to programmers. One of these pioneers is the OpenMP Superscalar (OmpSs). By implementing dynamic task dependence analysis, dataflow scheduling and out-of-order execution in runtime, OmpSs achieves high performance using coarse and medium granularity tasks. In theory, for the same application, the more parallel tasks can be exposed, the higher possible speedup can be achieved. Yet this factor is limited by task granularity, up to a point where the runtime overhead outweighs the performance increase and slows down the application. To ove...
In the era of multicore systems, it is expected that the number of cores that can be integrated on a...
Many and multicore architectures put a big pressure in parallel programming but gives a unique oppor...
In the past years, research and industry have introduced several parallel programming models to simp...
Along with the popularity of multicore and manycore, task-based dataflow programming models obtain g...
Task-based programming models have gained a lot of attention for being able to explore high parallel...
© 2015 Elsevier B.V. All rights reserved. OmpSs is a programming model that provides a simple and po...
Task-based programming models such as OpenMP, IntelTBB and OmpSs offer the possibility of expressing...
Task-based programming Task-based programming models such as OpenMP, Intel TBB and OmpSs are widely ...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Parallel computing has become the norm to gain performance in multicore and heterogeneous systems. ...
Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining p...
Task Parallelism is a parallel programming model that provides code annotation constructs to outline...
Task-based programming models allow programmers to express applications as a collection of tasks wit...
StarSS is a parallel programming model that eases the task of the programmer. He or she has to ident...
As chip multi-processors (CMPs) are becoming more and more complex, software solutions such as paral...
In the era of multicore systems, it is expected that the number of cores that can be integrated on a...
Many and multicore architectures put a big pressure in parallel programming but gives a unique oppor...
In the past years, research and industry have introduced several parallel programming models to simp...
Along with the popularity of multicore and manycore, task-based dataflow programming models obtain g...
Task-based programming models have gained a lot of attention for being able to explore high parallel...
© 2015 Elsevier B.V. All rights reserved. OmpSs is a programming model that provides a simple and po...
Task-based programming models such as OpenMP, IntelTBB and OmpSs offer the possibility of expressing...
Task-based programming Task-based programming models such as OpenMP, Intel TBB and OmpSs are widely ...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Parallel computing has become the norm to gain performance in multicore and heterogeneous systems. ...
Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining p...
Task Parallelism is a parallel programming model that provides code annotation constructs to outline...
Task-based programming models allow programmers to express applications as a collection of tasks wit...
StarSS is a parallel programming model that eases the task of the programmer. He or she has to ident...
As chip multi-processors (CMPs) are becoming more and more complex, software solutions such as paral...
In the era of multicore systems, it is expected that the number of cores that can be integrated on a...
Many and multicore architectures put a big pressure in parallel programming but gives a unique oppor...
In the past years, research and industry have introduced several parallel programming models to simp...