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Numerical approach to frequency response problems usually requires that the system governing equation is solved repeatedly at many frequencies. The computational efficiency of the overall process can be increased by departing from traditional sequential computing model in favor of utilizing the parallel processing capability commonly offered by modern hardware. In this paper, we consider a hybrid...
In this paper we present a heavily exploration oriented implementation of genetic algorithms to be executed on graphic processor units (GPUs) that is optimized with our novel mechanism for scheduling GPU-side synchronized jobs that takes inspiration from the concept of persistent threads. Persistent Threads allow an efficient distribution of work loads throughout the GPU so to fully exploit the CUDA...
The Open ACC standard has been developed to simplify parallel programming of heterogeneous systems. Based on a set of high-level compiler directives it allows application developers to offload code regions from a host CPU to an accelerator without the need for low-level programming with CUDA or Open CL. Details are implicit in the programming model and managed by Open ACC API-enabled compilers and...
Porting CUDA program to other heterogeneous and many-core platform especially native processor is very meaningful for extending the range of the CUDA application, taking advantage of many-core on target platform and supporting national industries. Traditional binary translation technique is not competent to this task. On the point of software reverse engineering, it is feasible to design a new migration...
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