The API interfaces provided by CUDA help programmers to get high performance CUDA applications in GPU, but they cannot support most I/O operations in device codes. The characteristics of CUDA＇s mapped memory are used...The API interfaces provided by CUDA help programmers to get high performance CUDA applications in GPU, but they cannot support most I/O operations in device codes. The characteristics of CUDA＇s mapped memory are used here to create a dynamic polling service model in the host which can satisfy most I/O functions such as read/write file and ＂printf＂. The technique to implement these I/O functions has some influence on the performance of the original applications. These functions quickly respond to the users＇ I/O requirements with the ＂printf＂ performance better than CUDA＇s. An easy and effective real-time method is given for users to debug their programs using the I/O functions. These functions improve productivity of converting legacy C/C＋＋ codes to CUDA and broaden CUDA＇s functions.展开更多
基金supported in part by the National High-Tech Research and Development(863)Program(No.2012AAO10903)
文摘The API interfaces provided by CUDA help programmers to get high performance CUDA applications in GPU, but they cannot support most I/O operations in device codes. The characteristics of CUDA＇s mapped memory are used here to create a dynamic polling service model in the host which can satisfy most I/O functions such as read/write file and ＂printf＂. The technique to implement these I/O functions has some influence on the performance of the original applications. These functions quickly respond to the users＇ I/O requirements with the ＂printf＂ performance better than CUDA＇s. An easy and effective real-time method is given for users to debug their programs using the I/O functions. These functions improve productivity of converting legacy C/C＋＋ codes to CUDA and broaden CUDA＇s functions.
