Migration of CUDA Program Based on a Divide-and-Conquer Method

Abstract

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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 framework to port CUDA program in which the host-end codes and device-end codes are translated separately based on a method of Divide-and-Conquer. In the course of migration, the solutions of several key problems are described emphatically such as the extraction of device-end codes, the mapping of computing model and storage model, synchronization barrier and instruction translation. The experimental result validates the system's accuracy.