maxmustermann/DeepLearningExamples
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

Update README.md

Browse source 
Co-authored-by: nv-kkudrynski <kkudrynski@nvidia.com>
This commit is contained in:
alvarognvidia 2021-01-08 14:35:04 -08:00 committed by GitHub
parent 598e9903cf
commit 4b5a7a416a
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 0 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

3
README.md
View file

@ -95,9 +95,6 @@ Automatic Mixed Precision (AMP) enables mixed precision training on Volta, Turin
**TensorFloat-32 (TF32)**
TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs. TF32 is supported in the NVIDIA Ampere GPU architecture and is enabled by default.
**TensorFloat-32 (TF32)**
TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs.
**Jupyter Notebooks (NB)**
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.