Author: Chris Lattner
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
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# Download latest archlinux bootstrap package, see https://www.archlinux.org/download/ | |
wget 'ftp://ftp.nluug.nl/pub/os/Linux/distr/archlinux/iso/latest/archlinux-bootstrap-*-x86_64.tar.gz' | |
# Make sure you'll have enough entropy for pacman-key later. | |
apt-get install haveged | |
# Install the arch bootstrap image in a tmpfs. | |
mount -t tmpfs none /mnt | |
cd /mnt | |
tar xvf ~/archlinux-bootstrap-*-x86_64.tar.gz --strip-components=1 |
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#Reference | |
#https://devnotcorp.wordpress.com/2012/08/21/usage-examples-of-rubys-openssl-lib/ | |
#!/usr/bin/ruby | |
require 'openssl' | |
require 'date' | |
require 'time' | |
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def defer(&block) | |
def block.each ; yield call ; end | |
block | |
end | |
app = | |
lambda do |env| | |
status = 200 | |
headers = { 'Last-Modified' => exec_sql('SELECT MAX(updated_at) FROM foos').httpdate } | |
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#include <stdlib.h> | |
#include <stdio.h> | |
#include <unistd.h> | |
#include <signal.h> | |
#include <pthread.h> | |
#include <sys/signalfd.h> | |
#include <sys/time.h> | |
#include <sys/types.h> | |
#define handle_error(msg) \ |