FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate 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
| 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) 2008 The Android Open Source Project | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| /* | |
| * Copyright (c) 2009, 2017, Oracle and/or its affiliates. All rights reserved. | |
| * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms. | |
| * | |
| * | |
| * | |
| * | |
| * | |
| * | |
| * |
