This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
I'm posting here a detailed summary of the problem and the situation with the Jetson TK1 board and compiling the final caffe release. The final caffe release requires cudnn v.5. If you attempt to compile on the Jetson TK1 board you will give an error from nvcc saying "Unsupported gpu architecture". I describe the
On the Jetson TK1 if you clone the final caffe release and compile:
make all -j 4
The nvcc compiler will show the following error:
