Open coxtonyj opened 2 years ago
I think this is a duplicate of #607. The fix to the --gpu
option is still tied up in a development branch but will hopefully be in the next release for real. In the meantime, see the work-around here
I think this is a duplicate of #607. The fix to the
--gpu
option is still tied up in a development branch but will hopefully be in the next release for real. In the meantime, see the work-around here
I was experiencing the same problem as the author of this issue. I went ahead and applied the solution mentioned in #607 but nothing has changed, still getting many lastz processes and 0% utility on gpus.
Thank you both for taking the time to respond. My experience is different to eskutkaan's, it seems not to find the run_segalign command (having previous run the segalign repeat masker), the relevant bit of the log (let me know if I should post more) is: log_excerpt.txt
@coxtonyj For some reason run_segalign
and segalign_repeat_masker
are in different places, so you need to add both to your PATH
. run_segalign
is normally in PATH
.
@eskutkaan Could you try applying the change directly to src/cactus/cactus_progressive_config.xml (then rerunning pip install -U)? This is how it's done in the GPU docker image and that version works for sure.
@coxtonyj For some reason
run_segalign
andsegalign_repeat_masker
are in different places, so you need to add both to yourPATH
.run_segalign
is normally inPATH
.@eskutkaan Could you try applying the change directly to src/cactus/cactus_progressive_config.xml (then rerunning pip install -U)? This is how it's done in the GPU docker image and that version works for sure.
Tried, it did not use the GPUs on the node.
Yes, it does:
wget https://github.com/ComparativeGenomicsToolkit/cactus/releases/download/v2.0.5/cactus-bin-v2.0.5.tar.gz
tar zxf cactus-bin-v2.0.5.tar.gz
cd cactus-bin-v2.0.5/
sed -i src/cactus/cactus_progressive_config.xml -e 's/gpuLastz="false"/gpuLastz="true"/g'
virtualenv -p python3.8 cactus_env
echo 'export PATH=$(pwd)/bin:$PATH' >> cactus_env/bin/activate
echo 'export PYTHONPATH=$(pwd)/lib:$PYTHONPATH' >> cactus_env/bin/activate
source cactus_env/bin/activate
python3 -m pip install -U setuptools pip==21.3.1
python3 -m pip install -U -r ./toil-requirement.txt
python3 -m pip install -U .
cactus ./js examples/evolverMammals.txt ./evolver-gpu.hal --realTimeLogging 2> cactus.log
grep segalign_repeat_masker cactus.log | wc -l
10
grep run_segalign cactus.log | wc -l
18
cactus-prepare examples/evolverMammals.txt --outDir pp
cactus-preprocess ./jobstore/0 examples/evolverMammals.txt pp/evolverMammals.txt --inputNames simHuman_chr6 simCow_chr6 simDog_chr6 --realTimeLogging --logInfo --retryCount 0 2> pp.log
cactus
grep segalign_repeat pp.log | wc -l
6
cactus-blast ./js examples/evolverMammals.txt Anc2.cigar --root Anc2 --realTimeLogging --logInfo --retryCount 0 2> blast.log
grep run_segalign blast.log | wc -l
8
When I follow this flow of solutions and run cactus, nvidia-smi -l shows all the GPUs are with 0% utilization. I am waiting for the job to spawn SegAlign, nothing changes, a bunch of lastz jobs is running on CPU and have no utilization on GPUs.
If you see segalign in the logs (as I showed) then it's using segalign. segalign itself calls lastz, so it's normal to see lastz processes running too.
Hi
I have Cactus 2.0.5 and I am using a set of 6 primate genomes to test the speedup due to SegAlign on a GPU-enabled cluster node. I installed Cactus from binary tarball and then a separate manual install of SegAlign as described in the docs, I'm of course running with --gpu.
What I see is that during the first stage (the repeat mask step) the GPU was being used (I used the Nvidia SMI tool to verify that my job was running on the GPU). However it's now running a bunch of Lastz jobs and looks to be behaving just as in non-GPU mode: the GPU seems to be idle and there seem to be just as many jobs as in non-GPU mode (the docs mentioned I should expect to see far fewer).
Do you have any initial thoughts as to what might be causing this behaviour?
Many thanks in advance