Installing CUDA 2.2 on MacPro running CentOS 64-bit

My test machine is an early 200 Mac Pro with a NVIDIA Tesla C1060. Upgrading to CUDA 2.2 on this Mac was relatively easy. Please read my previous post for installing CUDA 2.1 before attempting to install CUDA 2.2 on a CentOS 64-bit distro.

Step 1: Download packages:

wget http://developer.download.nvidia.com/compute/cuda/2_2/drivers/cudadriver_2.2_linux_64_185.18.08-beta.run
wget http://developer.download.nvidia.com/compute/cuda/2_2/toolkit/cudatoolkit_2.2_linux_64_rhel5.3.run
wget http://developer.download.nvidia.com/compute/cuda/2_2/sdk/cudasdk_2.2_linux.run
wget http://developer.download.nvidia.com/compute/cuda/2_2/toolkit/cudagdb_2.2_linux_64_rhel5.3.run

Change permissions

chmod +x cudadriver_2.2_linux_64_185.18.08-beta.run
chmod +x cudatoolkit_2.2_linux_64_rhel5.3.run
chmod +x cudagdb_2.2_linux_64_rhel5.3.run
chmod +x cudasdk_2.2_linux.run

Step 2: Find your kernel source and install the corresponding kernel-devel and kernel-headers:

uname -r
2.6.27.21-170.2.56.fc10.x86_64

sudo yum install kernel-devel
sudo yum install kernel-headers

Step 3: Install the CUDA driver first, followed by the toolkit, gdb and finally the SDK.

sudo ./cudadriver_2.2_linux_64_185.18.08-beta.run --kernel-source-path /usr/src/kernels/2.6.27.21-170.2.56.fc10.x86_64
sudo ./cudatoolkit_2.2_linux_64_rhel5.3.run
sudo ./cudagdb_2.2_linux_64_rhel5.3.run
./cudasdk_2.2_linux.run

Make sure that your path is configured correctly. (Refer to previous post)

Step 4: Enable the cuda script mentioned in the previous post.

sudo service cuda start

check the nvidia driver status and you should see this:

ls /dev/nv*
/dev/nvidia0  /dev/nvidiactl  /dev/nvram

Step 5: Make sure you do a fresh install of the SDK if you are upgrading.

cd NVIDIA_CUDA_SDK/
make

This should make all your projects in the following directory:

$HOME/NVIDIA_CUDA_SDK/bin/linux/release

Executing the deviceQuery executable shows me this:

./deviceQuery
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA

Device 0: "Tesla C1060"
CUDA Capability Major revision number:         1
CUDA Capability Minor revision number:         3
Total amount of global memory:                 4294705152 bytes
Number of multiprocessors:                     30
Number of cores:                               240
Total amount of constant memory:               65536 bytes
Total amount of shared memory per block:       16384 bytes
Total number of registers available per block: 16384
Warp size:                                     32
Maximum number of threads per block:           512
Maximum sizes of each dimension of a block:    512 x 512 x 64
Maximum sizes of each dimension of a grid:     65535 x 65535 x 1
Maximum memory pitch:                          262144 bytes
Texture alignment:                             256 bytes
Clock rate:                                    1.30 GHz
Concurrent copy and execution:                 Yes
Run time limit on kernels:                     No
Integrated:                                    No
Support host page-locked memory mapping:       Yes
Compute mode:                                  Default (multiple host threads can use this device simultaneously)

Test PASSED

Press ENTER to exit...

Congrats !!! CUDA 2.2 is configured on your 64-bit CentOS Mac Pro and also recognizes the NVIDIA Tesla C1060. Looking forward to post some examples with the zero copy feature :)