I’m now running HPL in NGC HPL-benchmark image (21.4-hpl) on DGX-Station A100.
The initial results of HPL seemed to use the tensorcores in A100 for HPL application.
It’s performance was over Rpeak of FP64, that means that the A100 utilized the tensorcores while calcuating HPL (It’s my guess).
Here is my question.
How to disable the Tensorcore FP32s in A100 for running HPL in NGC HPL-benchmark image (21.4-hpl) on DGX-Station A100?
Is there any external control (eg. envronmental variables) for stopping the tensorcore FP32?
I want to get the results by using FP64 only on DGX-Station A100.