tmiz

#!/bin/bash

OPENSSL_VERSION="1.0.1g"

curl -O http://www.openssl.org/source/openssl-$OPENSSL_VERSION.tar.gz
tar -xvzf openssl-$OPENSSL_VERSION.tar.gz
mv openssl-$OPENSSL_VERSION openssl_i386
tar -xvzf openssl-$OPENSSL_VERSION.tar.gz
mv openssl-$OPENSSL_VERSION openssl_x86_64
cd openssl_i386

tlrobinson

#!/usr/bin/env bash

set -u
set -e

export GIT_WORK_TREE="/var/www/example.com"
export NODE_VERSION="0.10"

echo "--> Checking out..."
git checkout -f

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

fjcaetano

var randomNumbers = [42, 12, 88, 62, 63, 56, 1, 77, 88, 97, 97, 20, 45, 91, 62, 2, 15, 31, 59, 5]

func partition(v: Int[], left: Int, right: Int) -> Int {
    var i = left
    for j in (left + 1)..(right + 1) {
        if v[j] < v[left] {
            i += 1
            (v[i], v[j]) = (v[j], v[i])
        }
    }

tkafka

The MIT License (MIT)

Copyright (c) 2014 Tomas Kafka

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

nadavrot

High-Performance Matrix Multiplication

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).

Intro

Matrix multiplication is a mathematical operation that defines the product of