Chapter 1. Using IPython for HPC
In this chapter, we are going to look at why IPython should be considered a viable tool for building high-performance and parallel systems.
This chapter covers the following topics:
- The need for speed
- Fortran as a solution
- Choosing between IPython and Fortran
- An example case—the Fast Fourier Transform
- High-performance computing and the cloud
- Going parallel
The need for speed
Computers have never been fast enough. From their very beginnings in antiquity as abaci to the building-sized supercomputers of today, the cry has gone up "Why is this taking so long?"
This is not an idle complaint. Humanity's ability to control the world depends on its ability to model it and to simulate different courses of action within that model. ...
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