What is CUDA?
CUDA stands for Compute Unified Device Architecture. CUDA is a parallel computing architecure and C based programming language for general purpose computing on NVIDIA GPU’s
Which department machines support CUDA?
Below is a list of machines with higher-end CUDA cards:
HOST | GPU(s) | LOCATION |
---|---|---|
falcon cluster | 8 x A100 80Gb | SR 475 |
falcon cluster | 12 x RTX 3090 24Gb | SR 475 |
anchovy | RTX 4000 Ada 20Gb | Lab 325 |
barracuda | RTX 4000 Ada 20Gb | Lab 325 |
blowfish | RTX 4000 Ada 20Gb | Lab 325 |
bonito | RTX 4000 Ada 20Gb | Lab 325 |
brill | RTX 4000 Ada 20Gb | Lab 325 |
bullhead | RTX 4000 Ada 20Gb | Lab 325 |
char | RTX 4000 Ada 20Gb | Lab 325 |
cod | RTX 4000 Ada 20Gb | Lab 325 |
dorado | RTX 4000 Ada 20Gb | Lab 325 |
eel | RTX 4000 Ada 20Gb | Lab 325 |
flounder | RTX 4000 Ada 20Gb | Lab 325 |
grouper | RTX 4000 Ada 20Gb | Lab 325 |
halibut | RTX 4000 Ada 20Gb | Lab 325 |
herring | RTX 4000 Ada 20Gb | Lab 325 |
mackerel | RTX 4000 Ada 20Gb | Lab 325 |
marlin | RTX 4000 Ada 20Gb | Lab 325 |
perch | RTX 4000 Ada 20Gb | Lab 325 |
pollock | RTX 4000 Ada 20Gb | Lab 325 |
sardine | RTX 4000 Ada 20Gb | Lab 325 |
shark | RTX 4000 Ada 20Gb | Lab 325 |
sole | RTX 4000 Ada 20Gb | Lab 325 |
swordfish | RTX 4000 Ada 20Gb | Lab 325 |
tarpon | RTX 4000 Ada 20Gb | Lab 325 |
turbot | RTX 4000 Ada 20Gb | Lab 325 |
tuna | RTX 4000 Ada 20Gb | Lab 325 |
wahoo | RTX 4000 Ada 20Gb | Lab 325 |
earth | Titan V 12Gb | SR 475 |
jupiter | Titan V 12Gb | SR 475 |
mars | Titan V 12Gb | SR 475 |
mercury | Titan V 12Gb | SR 475 |
neptune | Titan V 12Gb | SR 475 |
saturn | Titan V 12Gb | SR 475 |
uranus | Titan V 12Gb | SR 475 |
venus | Titan V 12Gb | SR 475 |
winter-park | Titan V 12Gb | SR 475 |
wolf-creek | Titan V 12Gb | SR 475 |
lamborghini | GeForce GTX TITAN X 12Gb | SR 475 |
lotus | GeForce GTX TITAN X 12Gb | SR 475 |
maserati | GeForce GTX TITAN X 12Gb | SR 475 |
porsche | GeForce GTX TITAN X 12Gb | SR 475 |
ahsoka | GeForce RTX 3080 10Gb | Lab 225 |
anakin | GeForce RTX 3080 10Gb | Lab 225 |
boba | GeForce RTX 3080 10Gb | Lab 225 |
bo-katan | GeForce RTX 3080 10Gb | Lab 225 |
chopper | GeForce RTX 3080 10Gb | Lab 225 |
clan-wren | GeForce RTX 3080 10Gb | Lab 225 |
ezra | GeForce RTX 3080 10Gb | Lab 225 |
grogu | GeForce RTX 3080 10Gb | Lab 225 |
hera | GeForce RTX 3080 10Gb | Lab 225 |
hondo | GeForce RTX 3080 10Gb | Lab 225 |
kallus | GeForce RTX 3080 10Gb | Lab 225 |
kanan | GeForce RTX 3080 10Gb | Lab 225 |
kuiil | GeForce RTX 3080 10Gb | Lab 225 |
loth-cats | GeForce RTX 3080 10Gb | Lab 225 |
mando | GeForce RTX 3080 10Gb | Lab 225 |
nightsisters | GeForce RTX 3080 10Gb | Lab 225 |
obi-wan | GeForce RTX 3080 10Gb | Lab 225 |
omega | GeForce RTX 3080 10Gb | Lab 225 |
palpatine | GeForce RTX 3080 10Gb | Lab 225 |
rex | GeForce RTX 3080 10Gb | Lab 225 |
sabine | GeForce RTX 3080 10Gb | Lab 225 |
satine | GeForce RTX 3080 10Gb | Lab 225 |
tarkin | GeForce RTX 3080 10Gb | Lab 225 |
thrawn | GeForce RTX 3080 10Gb | Lab 225 |
ventress | GeForce RTX 3080 10Gb | Lab 225 |
zeb | GeForce RTX 3080 10Gb | Lab 225 |
kale | GeForce GTX 1060p 6GB | SR 475 |
kelp | GeForce GTX 1060p 6GB | SR 475 |
leek | GeForce GTX 1060p 6GB | SR 475 |
lettuce | GeForce GTX 1060p 6GB | SR 475 |
mushroom | GeForce GTX 1060p 6GB | SR 475 |
okra | GeForce GTX 1060p 6GB | SR 475 |
onion | GeForce GTX 1060p 6GB | SR 475 |
parsley | GeForce GTX 1060p 6GB | SR 475 |
parsnip | GeForce GTX 1060p 6GB | SR 475 |
pea | GeForce GTX 1060p 6GB | SR 475 |
pepper | GeForce GTX 1060p 6GB | SR 475 |
potato | GeForce GTX 1060p 6GB | SR 475 |
pumpkin | GeForce GTX 1060p 6GB | SR 475 |
radish | GeForce GTX 1060p 6GB | SR 475 |
rhubarb | GeForce GTX 1060p 6GB | SR 475 |
romanesco | GeForce GTX 1060p 6GB | SR 475 |
rutabaga | GeForce GTX 1060p 6GB | SR 475 |
shallot | GeForce GTX 1060p 6GB | SR 475 |
spinach | GeForce GTX 1060p 6GB | SR 475 |
squash | GeForce GTX 1060p 6GB | SR 475 |
tomatillo | GeForce GTX 1060p 6GB | SR 475 |
tomato | GeForce GTX 1060p 6GB | SR 475 |
turnip | GeForce GTX 1060p 6GB | SR 475 |
wBen-Hurbi | GeForce GTX 1060p 6GB | SR 475 |
yam | GeForce GTX 1060p 6GB | SR 475 |
zucchini | GeForce GTX 1060p 6GB | SR 475 |
bentley | GeForce GTX 980 4Gb | SR 475 |
bugatti | GeForce GTX 980 4Gb | SR 475 |
ferrari | GeForce GTX 980 4Gb | SR 475 |
jaguar | GeForce GTX 980 4Gb | SR 475 |
poppy | 4 x NVIDIA Ada L40S 48GB | SR 375 (exclusive access, Mangal) |
tarski | NVIDIA Ada L40S 48GB | SR 375 (exclusive access, Krishnaswamy) |
carnap | 2 x RTX A6000 48Gb | SR 375 (exclusive access, Krishnaswamy) |
histone1 | 2 x RTX 4090 24Gb | SR 375 (exclusive access, Ben-Hur) |
histone2 | 2 x RTX 4090 24Gb | SR 375 (exclusive access, Ben-Hur) |
chopper | 2 x RTX 3090 24Gb | SR 375 (exclusive access, Blanchard) |
nami | 2 x RTX 3090 24Tb | SR 375 (exclusive access, Blanchard) |
sanjii | 2 x RTX 3090 24Tb | 235? (exclusive access, Blanchard) |
usopp | 2 x RTX 3090 24Tb | SR 375 (xeclusive access, Blanchard) |
zoro | 2 x RTX 3090 24Tb | SR 375 (exclusive access, Blanchard) |
buggy | RTX 3090 24Gb | 235? (exclusive access, Blanchard) |
farley | RTX 3090 24Gb | SR 375 (exclusive access, Anderson) |
luffy | 8 x GeForce RTX 2080 Ti 11G | SR 475 (exclusive access, Blanchard) |
aqua | 4 x TITAN Xp 12Gb | SR 475 (exclusive access, Draper) |
teal | 4 x TITAN Xp 12Gb | SR 475 (exclusive access, Draper) |
samual | 1 x TITAN X 12Gb | RM 444 (exclusive access, Anderson) |
phire | Tesla K20c | SR 475 (exclusive access) |
damavand | Tesla K20c | SR 475 (exclusive access) |
How do I configure my shell environment for CUDA development?
The NVIDIA graphics driver and CUDA compilier are already installed on machines that support CUDA. However, one must set some environment variables in order to run and write CUDA enabled programs.
This can be done using environment modules.
First, to see what versions of CUDA are available:
$ module avail cuda
------------------- /usr/local/modules -----------------------------------
cuda/7.5 cuda/9.1 cuda/10.1 cuda/11.0 cuda/11.2 cuda/11.4 cuda/11.7
cuda/8.0 cuda/10.0 cuda/10.2 cuda/11.1 cuda/11.3 cuda/11.6
To load the latest version of CUDA:
$ module load cuda
Or to load a specific version of CUDA:
$ module load cuda/11.4
Confirm:
$ module list
Currently Loaded Modulefiles:
1) cuda/11.4
And:
$ nvcc --version | grep release
Cuda compilation tools, release 11.4, V11.4.152
How can I switch to a different version of CUDA?
If you have loaded a CUDA version and would like to switch to a different version:
$ module switch cuda/<VERSION>