Hi Mohamed,
To reslove the issue of speed of performance, you make try these two ways mainly:
- You may try out parallelization and other techniques of optimizing your code and see if your performance improves.
- If the problem still persists, then it must be due to delays in launching Matlab Runtime Environment multiple times. In this case you can try caching by using a Python Dictionary to store the results and try to avoid multiple access to the original Matlab file.
I am attaching a simple example of implementing caching using python dictionary:
def cache_function(*inputs):
if inputs in cache_dict:
return cache_dict[inputs]
else:
result = call_matlab_compiled_file(*inputs)
cache_dict[inputs] = result
return result
Don't forget to replace your direct calls to Matlab files as follows:
cache_dict = {}
result = cache_function(input1, input2, ...)
Hope this helps resolve your problem.
Alternatively, you may also try out other libraries like 'functools.lru_cache' or 'cachetools'.
