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Efficiently programming shared-memory machines is a difficult challenge because mapping application threads onto the memory hierarchy has a strong impact on the performance. However, optimizing such thread placement is difficult: architectures become increasingly complex and application behavior changes with implementations and input parameters, e.g problem size and number of threads. In this work,...
To address the high level of dynamism and variability in modern streaming applications (e.g. video decoding) as well as the difficulties in programming heterogeneous MPSoCs, we propose a novel execution model based upon both dataflow and Kahn process networks. This paper presents the semantics and properties of this hierarchical and parametric model, called DKPN. Parameters are classified and it is...
To address the high level of dynamism and variability in modern streaming applications (e.g. video decoding) as well as the difficulties in programming heterogeneous MPSoCs, we propose a novel execution model based upon both dataflow and Kahn process networks. This paper presents the semantics and properties of this hierarchical and parametric model, called DKPN. Parameters are classified and it is...
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