Based on the profile in the performance measurement exercise
write a setup.py for creating a Cython module for the most time consuming part of the heat equation solver.
If you did not finish the profiling exercise, you can look at example profile here.
Insert static type declarations to proper locations. Investigate the effect on performance. You
can use applications own timers and/or timeit. Annotated HTML-report with
cython –a … can be useful when tuning performance
Continue optimising the code by reducing function call overhead, utilizing fast array indexing and including compiler directives. When finished with the optimisation, compare performance to Python/NumPy model solution (in numpy/heat-equation), which uses array operations. You can play around also with larger input data as provided in bottle_medium.dat and bottle_large.dat.