Provides a simple interface for computing FFTs up to 10x faster. cuFFT – Fast Fourier Transform library.A GPU accelerated version of the complete standard BLAS library. Several scientific libraries that make use of CUDA are available:
To learn about all options that could be used for submitting a job, please visit the running jobs page. Where the –l gpus= # option indicates the number of GPUs. The following line shows how to submit the matmul executable to run in batch mode on a single CPU with access to a single GPU: scc1% qsub -l gpus=1 -b y matmul To run a CUDA program interactively, you then type in the name of the program at the command prompt: gpunode% matmul Submit a CUDA program Batch Job scc1% qrsh -l gpus=1Īfter that, to compile this CUDA Fortran program, run: scc-je2% pgfortran -fast -o matmul matmul.cuf You can get access to a GPU-equipped node by running the command below. You should do your compiling of CUDA Fortran programs on one of our nodes with GPUs, not on the login nodes. CUF files require preprocessing.Īs a test, you can download the CUDA Fortran matrix multiply example matmul.cuf and transfer it to the directory where you are working on the SCC. There are two CUDA Fortran free-format source file suffixes.
Run man pgfortran for usage instructions. Compiling and running interactively a simple CUDA program using Portland Group CUDA Fortran Your environment should by default be all set to take advantage of CUDA Fortran using the Portland Group Fortran compiler pgfortran. The computing performance of many applications can be dramatically increased by using CUDA directly or by linking to GPU-accelerated libraries. It provides programmers with a set of instructions that enable GPU acceleration for data-parallel computations. CUDA is a parallel programming model and software environment developed by NVIDIA.
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