As shown in the previous note, high performance computing clusters are characterized by a (or several) login nodes.

OK, I listed this as R, then containers, but we will do R, containers then more R. Eh.

Ok, the point to today’s discussion. Your project has exceeded what you can do locally. Possible reasons why:

Note, this is a BIG and important topic. I am barely scratching the surface to show that HPC is an important component due to the computational power required to run some of these models. Monte Carlo methods are ones that involve repeated random sampling to estimate unknown parameters.

Neural networks are really a framework for building models. In recent years, these have gained major traction due in part to the popularity of machine learning.

Keras sits on top of TensorFlow (and others) and creates a high level abstraction of the underlying TensorFlow programming model.