Paul Moore at 2016/9/30 7:07:35PM wrote: > OK. So if your Python code only calls the function once, the problem needs to > be fixed in the external code (the assembly routine). But if you can split up > the task at the Python level to make multiple calls to the function, each to > do a part of the task, then you could set up multiple threads in your Python > code, each of which handles part of the task, then Python merges the results > of the sub-parts to give you the final answer. Does that make sense to you? > Without any explicit code, it's hard to be sure I'm explaining myself clearly. >
That's what I will do later, to split the task into multiple cores by passing a range parameter (such as 0~14, 15~29, ..) to each instance. Right now, I just embedded the range in the function to make it simple on testing. At this moment my interest is how to make it runs at 100% core usage. Windows task manager shows this function takes only ~70% usage, and the number varies during its execution, sometimes even drop to 50%. I also had test a batch file (copied from another discussion forum): @echo off :loop goto loop It takes ~85% usage, and the number is stable. The result is obviously different. My question is how to control it:-) --Jach -- https://mail.python.org/mailman/listinfo/python-list