KrabCode

import java.util.UUID;

PImage src;
PGraphics temp;
PVector[] directions;

public void settings() {
  //        fullScreen(P2D, 2);
  size(800, 800, P2D);
}

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

jmoy

Bleuje

// note : if you're on github gist and want to copy paste this code, you can click on the "Raw" button
// and then do Ctrl A, Ctrl C, Ctrl V
// (code below by Kurt Spencer, slightly modified code to run as Processing tab)
// maybe you should rather use this new (improved) version of the noise instead : https://github.com/KdotJPG/OpenSimplex2

/*
 * OpenSimplex Noise in Java.
 * by Kurt Spencer
 * 
 * v1.1 (October 5, 2014)

markus-beuckelmann

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration

from __future__ import print_function

import numpy as np
from time import time

kristerw

#!/bin/sh

#
# Build GCC with support for offloading to NVIDIA GPUs.
#

work_dir=$HOME/offload/wrk
install_dir=$HOME/offload/install

# Location of the installed CUDA toolkit

mauron85

#!/bin/bash

# Put into /lib/systemd/system-sleep/suspend-modules
# chmod a+x /lib/systemd/system-sleep/suspend-modules

# Create /etc/suspend-modules.conf
# with one module per line

# credits to:
# https://bbs.archlinux.org/viewtopic.php?pid=1540125#p1540125

treydock

--[[

SLURM job submit filter for QOS

Some code and ideas pulled from https://github.com/edf-hpc/slurm-llnl-misc-plugins/blob/master/job_submit/job_submit.lua

--]]

--########################################################################--
--

akras14

Git Cheat Sheet

Commands

Getting Started

git init

or

mattdesl

render
	for each particle
		x, y = particle.position

		color = sample( colorMap, x, y )
		noise = sample( noiseMap, x, y )

		angle = noise * PI * 2

		particle.velocity.add( cos(angle), sin(angle) )