The chief impediment to widespread usage of parallel computing is the difficulty in programming HPCs. Furthermore, most users work from a Windows PC so that learning UNIX as a prerequisite to parallel programming is a further obstruction. What is needed is a smooth workflow that simplifies both the p...

In this segment, we explain how to create customized nodes.

This segment discusses the MEC and MECXLocal nodes in the IPython library to quickly prototype a parallel computation without having a prior connection to a backend cluster.

This segment discusses how VISION/HPC works with the underlying IPython library for parallel computation to compute the fractal image in the built-in demo.

In this segment, we discuss how to use the Matplotlib library to create interactive plots

In this segment, we discuss the Imaging Library and how to use it to create a network to load, review, and manipulate images.

In this seminal segment, we discuss getting started with VISION/HPC, how to use the associated documentation, how to draw and connect nodes to create networks, moving and connecting nodes, basic terminology and the main interface, and the interpreter window.