cuda core and tensor core usage for GPU
hello,
Iam trying the main.dam break case in Nvidia A100. I have multi gpu dgx box. Each node has 256 hyperthread cpu, and 8 gpu card. each gpu card has 6912 cuda cores 432 tensor cores.
I am new in GPU computing. How does DSPH use the tensor cores? Any reference read on that?
How do I use multi GPU that is if I want to use more than one GPU card on that node? Can I allocate all 8?
Thanks
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Comments
Hello
The current version of DualSPHysics does not allow for multi-GPU execution. So you can only run on one GPU at a time, but then in theory have 8 different simulations running on the same machine now, by using -gpu: <id_number> (0 to 7) in the batch execution file.
But congratulations on the machine, really nice specs! Hopefully new releases of DualSPHysics will be able to utilize it fully.
Kind regards
Hello Do you mean to say,
1st scenario: I can run 8 different DSPH simulations (different types of physics and setups) on single GPU card simultaneously by tagging id number 0 to 7 respectively?
2nd scenario: And if I run a single big job on a single card, it might use all 8 ids if it needs and if i don't limit the use of ids?
Does DSPH uses the tensor cores at all? or that would be an improvement of the code?