CUDA

Hardware/Emulation

• NVIDIA's list of supported hardware
• Otherwise, there's emulation...

  [recombinator](0) $ ~/local/cuda/C/bin/linux/emurelease/deviceQuery

CUDA Device Query (Runtime API) version (CUDART static linking) There is no device supporting CUDA. Device 0: "Device Emulation (CPU)" CUDA Driver Version: 2.30 CUDA Runtime Version: 2.30 CUDA Capability Major revision number: 9999 CUDA Capability Minor revision number: 9999 Total amount of global memory: 4294967295 bytes Number of multiprocessors: 16 Number of cores: 128 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 8192 Warp size: 1 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: 1.35 GHz Concurrent copy and execution: No Run time limit on kernels: No Integrated: Yes Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Test PASSED

Installation on Debian

libcuda-dev packages exist in the non-free archive area, and supply the core library libcuda.so. Together with the upstream toolkit and SDK from NVIDIA, this provides a full CUDA development environment for 64-bit Debian Unstable systems. I installed CUDA 2.3 on 2010-01-25 (hand-rolled 2.6.32.6 kernel, built with gcc-4.4). This machine did not have CUDA-compatible hardware (it uses Intel 965).

• Download the Ubuntu 9.04 files from NVIDIA's "CUDA Zone".
• Run the toolkit installer (sh cudatoolkit_2.3_linux_64_ubuntu9.04.run)
  • For a user-mode install, supply $HOME/local or somesuch

* Please make sure your PATH includes /home/dank/local/cuda/bin
* Please make sure your LD_LIBRARY_PATH
*   for 32-bit Linux distributions includes /home/dank/local/cuda/lib
*   for 64-bit Linux distributions includes /home/dank/local/cuda/lib64
* OR
*   for 32-bit Linux distributions add /home/dank/local/cuda/lib
*   for 64-bit Linux distributions add /home/dank/local/cuda/lib64
* to /etc/ld.so.conf and run ldconfig as root

* Please read the release notes in /home/dank/local/cuda/doc/

* To uninstall CUDA, delete /home/dank/local/cuda
* Installation Complete

• Run the SDK installer (sh cudasdk_2.3_linux.run)
  • I just installed it to the same directory as the toolkit, which seems to work fine.

========================================

Configuring SDK Makefile (/home/dank/local/cuda/shared/common.mk)...

========================================

* Please make sure your PATH includes /home/dank/local/cuda/bin
* Please make sure your LD_LIBRARY_PATH includes /home/dank/local/cuda/lib

* To uninstall the NVIDIA GPU Computing SDK, please delete /home/dank/local/cuda
* Installation Complete

Building

SDK's common.mk

This assumes use of the SDK's common.mk, as recommended by the documentation.

• Add the library path to LD_LIBRARY_PATH, assuming CUDA's been installed to a non-standard directory.
• Set the CUDA_INSTALL_PATH and ROOTDIR (yeargh!) if outside the SDK.
• I keep the following in bin/cudasetup of my home directory. Source its output, ala eval `cudasetup`:

#!/bin/sh

CUDA=$HOME/local/cuda

[ -d "$CUDA" ] || { echo "$CUDA is not a directory, exiting" >&2 ; exit 1 ; }

echo "# run \"eval \`$0\`\" to source these exports"
echo "export CUDA_INSTALL_PATH=$CUDA"
echo "export ROOTDIR=$CUDA/C/common/"
# check for its current presence? FIXME
if [ -n "$LD_LIBRARY_PATH" ] ; then
	echo "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA/lib64"
else
	echo "export LD_LIBRARY_PATH=$CUDA/lib64"
fi