In this paper we first outline current and possible future hardware and introduce a new abstract hardware model able to describe hybrid clusters. We discuss how ...
A variation of the PGAS model allowing implicit fine-grained pair-wise synchronization among the nodes and the different kinds of processors is introduced, ...
A dataflow-like programming model for future hybrid clusters and GPU programming models regarding our hardware predicts. Sect. 5 discusses they same aspects.
A dataflow-like programming model for future hybrid clusters and GPU programming models regarding our hardware predicts. Sect. 5 discusses they same aspects.
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What are types of dataflow execution model?
What is the dataflow model of computation?
This scheme leads to implementations with similar performance and scalability than programs manually developed and optimized using message-passing models, such ...
In this paper, we show another real world example for which hybrid dataflow models provide better support than traditional shared memory models. Specifically, ...
In this paper, we present DaSH - the first comprehensive benchmark suite for hybrid dataflow and shared memory programming models. DaSH features 11 benchmarks, ...
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It presents a new combination of features that allows to easily map programs to shared or distributed memory, exploiting data locality and affinity to obtain ...
Oct 29, 2024 · The other central idea is to get the work and data onto the Maverick dataflow engine and keep as much of it there as possible to minimize data ...
The dataflow program graph execution model, or dataflow for short, is an alternative to the stored-program (von Neumann) execution model.