Using Tensor Cores for Mixed-Precision Scientific Computing

Originally published at: https://developer.nvidia.com/blog/tensor-cores-mixed-precision-scientific-computing/

Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in engineering and scientific applications require the extra precision to compute correct answers or even reach an answer. However, FP64 also requires more computing resources and runtime to deliver the increased precision levels. Problem complexity…

Really Nice that tensor cores speed-up simulations of ITER researchers! And thank you for the computational tricks to solve x.

This is over my head! too much info...hehehe