Understanding matrix operations is very important for a deeper understanding of linear algebra. We know matrices are used throughout the field of machine learning in the description of algorithms and ...

I wanted a practical example to see how it can be used and to see a real example of the speed gains. I found in the blog of Martin Thoma a benchmark between python vs java vs c++ for matrix ...

The forward pass in a neural network can be significantly accelerated using nvmath-python. By executing the RELU_BIAS epilog, users can perform matrix multiplication, add biases, and apply ReLU ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.