FWIW: I (@Rondy) am not the author of the content presented here, which is an outline from Edmond Lau's book. I've just copy-pasted it from somewhere and saved as a personal gist, before it got popular on newsnews.ycombinator.com. I don't remember where exactly the original source is from and neither could find the author's name, so I cannot give him/her the proper credits.
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
[Android Transition Framework][transition-framework] can be used for three main things:
| Vagrant.configure("2") do |config| | |
| config.vm.box = "ubuntu/bionic64" | |
| config.vm.provider :virtualbox do |v| | |
| v.gui = true | |
| v.memory = 2048 | |
| end | |
| # Currently "ubuntu/bionic64" on VirtualBox requires `type: "virtualbox"` | |
| # to make synced folder works. |
| /* | |
| * Copyright (c) 2009, 2017, Oracle and/or its affiliates. All rights reserved. | |
| * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms. | |
| * | |
| * | |
| * | |
| * | |
| * | |
| * | |
| * |
-i - ignore errors
-c - continue
-t - use video title as file name
--extract-audio - extract audio track
