From time to time, the default TexLive repository does not work for me when I try to install a package using tlmgr. One method to get around this is to use a non-default repository, e.g., to install the listings package, we can
tlmgr -repository https://mirrors.ibiblio.org/pub/mirrors/CTAN/systems/texlive/tlnet install listings
Perhaps, the trick part is not to find a mirror, rather it is to write the correct URL. This example serves as a template for that
I observed that when I run a Pytorch program on a system with GPUs, the Pytorch runner dispatches the computational tasks to both GPUs. Since the program is not optimized for using multiple GPUs, the performance using the two GPU is worse than just using one. A simple method to address this turns out to be that we inform Pytorch to use a designated GPU via environmental variable CUDA_VISIBLE_DEVICES.
For instance, to run a task run_task.sh, we can
CUDA_VISIBLE_DEVICES=0 ./run_task.sh SEED=1234
which results in running the task on a single GPU.
For the non-optimized program, I got much better computational efficiency by doing than letting each run on two GPUs:
CUDA_VISIBLE_DEVICES=0 ./run_task.sh SEED=1234
CUDA_VISIBLE_DEVICES=1 ./run_task.sh SEED=4321
