bjmorgan

{
    "cmd": ["bibtex", "$file_base_name"],
    "path": "$PATH:/usr/texbin:/usr/local/bin",
    "file_regex": "^(...*?):([0-9]+): ([0-9]*)([^\\.]+)",
    "selector": "text.tex.latex"
}

garvinhicking

<?php
$myself = 'garvin';
$compare = 'andih';

# Usage: 
# - wget a URL like this:
# http://www.imdb.com/list/export?list_id=ratings&author_id=ur0555872 (garvin)
# - save it as imdb_ratings_XXX.csv (see below when it gets called)
# - do the same with the CSV of the second user you want to compare with
# - enter the proper user names/file names at the bottom of this file

ax3l

In general, check the crt/host_config.h file to find out which versions are supported. Sometimes it is possible to hack the requirements there to get some newer versions working, too :)

Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.

Download Archives: https://developer.nvidia.com/cuda-toolkit-archive

Release notes for CUDA Toolkit (CTK):

• latest: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
• archive: https://docs.nvidia.com/cuda/archive/

fndari

void setCustomStyle()
{
    TStyle* customStyle = new TStyle("customStyle", "customStyle"); 

    customStyle->SetDrawBorder(0);
    customStyle->SetCanvasBorderMode(0);
    customStyle->SetFrameBorderMode(0);
    customStyle->SetPadBorderMode(0);

    customStyle->SetPalette(1,0); // avoid horrible default color scheme 

Nepomuk

#!/bin/bash

ENCFS="/usr/local/bin/encfs"
ENCDIR="$HOME/Dropbox/Boxcryptor.bcc"
DECDIR="/Volumes/Boxcryptor"

if [ ! -d "$DECDIR" ]; then
  mkdir -p $DECDIR
fi

stefangrund

<?php
//Get first image in post
function firstImage() {
	global $post, $posts;
	$first_img = '';
	ob_start();
	ob_end_clean();
	$content = do_shortcode( $post->post_content );
	$output = preg_match_all('/<img.+src=[\'"]([^\'"]+)[\'"].*>/i', $content, $matches);
	$first_img = $matches [1] [0];

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