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The TDMA scheduling access scheme is implemented on the distributed algorithm and provides control and data sections.
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In cellular networks, centralized solutions turn feasible to achieve optimized objectives because of the availability of the overall state of the network [14]; however, they are impracticable to be implemented on the current distributed architecture of the RAN, regarding complexity and latency constraints [15].
In this paper, based on the previous ideas, we propose a parallel iterative criterion implemented on the distributed-memory multiprocessor machines, which is convergent and costs less computational time than the earlier ones, we also present several numerical examples to show its effectiveness.
PF is implemented on the GPU with a distributed resampling.
The auto-tuner was implemented on a distributed control system and applied in industry.
In future, this plan can be implemented on a distributed system and can spare the time by exhaustive search.
In all cases, however, message passing is handled through the standard Message Passing Interface (MPI); consequently the algorithms can also be implemented on any distributed- or shared-memory system that runs MPI.
This algorithm is implemented on a distributed memory parallel cluster in order to solve the SCFT equations on large computational grids.
The computational code was constructed so that it is easily implemented on a distributed memory machine.
Because those softwares are used to analyze large and complex case studies in a limited amount of time, they are implemented on parallel distributed computers.
The proposed method was successfully implemented on distributed memory architectures in the RAMSES code, for which we present and discuss convergence and accuracy properties as well as timing performances.
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