June 2018
Intermediate to advanced
248 pages
5h 27m
English
Content preview from Mastering Numerical Computing with NumPy
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Performance with Intel MKL
Here, you will run linalg_benchmark.py script with Intel MKL. Connect to t2.micro instance where you have this configuration, and run the script as shown in the previous section.
The following are the results of the run with dim = 100:
The following are the results of the run with dim = 500: