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This paper presents a new approach to generate and optimize parallel fiber trajectories on general non planar surfaces based on level-sets and the Fast Marching Method.
It is also shown that even on homogeneous parallel architectures this dynamic version of Speed Weighted Load Balancing (SWLB) may aid to optimize parallel performance considerably.
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However, execution in HPC environments is not trivial: (i) installing, configuring and optimizing parallel software are generally cumbersome for non-HPC experts, (ii) access to HPC resources generally implies long waiting times or at least significant variability in the response time and (iii) it is difficult to estimate in advance the computational resources needed.
In short, this research is intended to establish a strategic procedure to optimize a parallel version of a CFD package, FLUENT.
In response to large-scale and long-time running for the application of CFD, online and scalable performance analysis technology is required to optimize the parallel programs as well as to improve their operational efficiency.
In [16], the authors proposed an implementation to exploit the memory reference locality to optimize the parallel data cache.
It is involved in decomposition of a large engineering system into a number of smaller subsystems optimized in parallel on worker nodes and coordination of subsystem optimization results on the master node.
While developing naive code is uncomplicated, optimizing extremely parallel algorithms requires deep understanding of the core architecture.
A number of subtleties in implementing and optimizing the parallel algorithm are discussed, as well as problems in defining performance measurements.
To minimize the critical path to one multiplier delay and to achieve 100% hardware utilization efficiency, the serial operation is optimized using parallel computation in advance with pipeline operation of independent path.
They must be optimized in parallel, in order to decide which one is best suited for the analyzed face.
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