Running CUDA and Open. CL in course server - Seminar on GPGPU Programming. Initial draft, subject to change. CUDA and Open. CLWe have a Linux server with NVidia Tesla C1. The server has Intel Core i. GHz CPU with 6 GB of memory. We have installed NVidia CUDA Toolkit 3. Beta which provides CUDA and Open. CL support. The NVidia kernel driver version is Linux- 6. Note! The latest official version of the Cuda toolkit is 2. Open. CL and Cuda code, thus we have chosen to use this unofficial beta version. However, if you want to install NVidia drivers to your home computer, you might want to use the latest official version. Getting an account and logging in. Our server name is . We will fill these application forms during the first meeting of the seminar. Once you get your account, you can log in via ssh: Developing, Compiling and Running. CUDAFirst you have to set the environment by executing. The compiler binary name is nvcc. See the manual page for command line options. NVIDIA CUDA GETTING STARTED GUIDE. Compiling CUDA Programs. NVIDIA CUDA Getting Started Guide for Microsoft Windows.
I got CUDA setup and running with Visual C++ 2005 Express Edition in my previous post. Now I'll write my first CUDA. The script sets PATH, MANPATH and LD. TO use this, you have to set the include and linker paths accordingly. See the vector addition example from the introduction presentation for a sample Makefile. Open. CLTo compile Open. CL programs in miranda, say. Like in Cuda, SDK has some utility libraries for Open. CL, See the example (ttps: //wiki. Makefiles for details. Compiling the provided example programs. We have installed NVidia's GPGPU computing SDK into miranda. To copy the SDK into your home directory. It is already compiled in /usr/local/gpu- computing- sdk- 3. You probably shouldrun make clean first before issuing the compilation commands. To compile NVidia Cuda example programsuse cuda. C gpu- computing- sdk- 3. C. To compile NVidia Open. CL example programs: use cuda. C gpu- computing- sdk- 3. Open. CL. The CUDA sample programs are built into ~/gpu- computing- sdk- 3. C/bin/linux/release directory. To run the sample program called . To run the corresponding device. Query OCL program: cd ~/gpu- computing- sdk- 3. Open. CL/bin/linux/release. Device. Query. Note that some of the sample programs use graphics and require a local X connection to work properly. So there is no way to use them remotely with, for example, through SSH forwarding of X.
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