Design space exploration is carried out by employing existing soft core processors, designing custom co-processors and data path modules and integrating them using parallel and pipelined data flow approaches.
FICAS, on the other hand, employs a distributed data-flow approach that supports direct data exchanges among web services.
In consequence, backward data flow is forbidden in our approach, and a sequential execution of the substeps must be able to compute all values.
In this approach, the data flow is transferred to the nearby users to keep the communication while the first scheme only uses the spectrum handoff to keep the route.
Zhao [8, 51] developed a data-flow testing approach for AO programs, based on the OO approach proposed by Harrold et al. [48], addressing the testing of interfaces from the aspect perspective and from the class perspective.
The most influential school of structured analysis is the Yourdon approach, in which data flow diagrams (DFDs), entity-relationship diagram (ERDs), and Mealy diagrams without local variables are used to represent the structure of the system under development (SuD).
The paper proposes a new data-flow based approach for the identification of backbones in infinite clusters on 2-D percolation site lattices of dimension L × L. The infinite cluster is identified first, then a multi step algorithm is applied for the reduction of the infinite cluster to its backbone.
For the case of multiple flows on a single link, we propose an approximate dynamic programming approach to obtain suboptimal data flow rate policies.
We propose a new approach to implementation of data flow logical operations based on manipulating DNA strands.
Taking advantage of the regular data flow of this kind of algorithm, our approach implements a novel superpipelined, fully parallelized architecture for optical-flow processing.
Such augmented integration approach also brings customised control flow and data flow criteria.
