I used the following command to install the numpy to enable the SSE3 numpy-1.5.1rc1-win32-superpack-python3.1.exe /arch sse3
Then how can I know whether numpy is running with SSE or not? I have a program to process the data from sql server using java to process 600M rows, it takes 7 hours to complete, about 4 hours is eating the cpu. I am wondering whether I can port the java to numpy to cut the 4 hours to 2hours or even less by enabling the SSE3. Any comment?
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