Visual Parallel Computing Using Python-based VISION/HPC

We may not know much about the future of computer programming, but one thing we do know is that it is parallel and the biggest challenge facing software programmers and hardware designers is how to exploit all those multiple cores out there.

So Unpingco’s new Python series is both fascinating and prescient. Oh and useful too.

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 programming task and the remote execution management. VISION/HPC is a Python-based, drag-and-drop visual-programming environment that reduces sophisticated programming tasks to dropping and connecting icons in a GUI flowchart…

`[1402] Introducing VISION/HPC‘, a video-tutorial by unpingco, part of the series `Visual Parallel Computing Using Python-based VISION/HPC‘

`[1403] An Example Using the Imaging Library‘, a video-tutorial by unpingco, part of the series `Visual Parallel Computing Using Python-based VISION/HPC‘

`[1404] An Example Using Matplotlib Library‘, a video-tutorial by unpingco, part of the series `Visual Parallel Computing Using Python-based VISION/HPC‘
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