John D. Martin III jdmar3

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Slurm Configuration Debian based Cluster

Here I will describe a simple configuration of the slurm management tool for launching jobs in a really simplistic cluster. I will assume the following configuration: a main node (for me it is an Arch Linux distribution) and 3 compute nodes (for me compute nodes are Debian VMs). I also assume there is ping access between the nodes and some sort of mechanism for you to know the IP of each node at all times (most basic should be a local NAT with static IPs)

Basic Structure

Slurm management tool work on a set of nodes, one of which is considered the master node, and has the slurmctld daemon running; all other compute nodes have the slurmd daemon. All communications are authenticated via the munge service and all nodes need to share the same authentication key. Slurm by default holds a journal of activities in a directory configured in the slurm.conf file, however a Database management system can be set. All in all what we will try to do is:

Install `munge

	# Split multi-year dataframe into smaller dataframes by year.
	# This will label the new dataframes as "year1997", "year1998", etc.

	# Replace DATAFRAME below with the name of your dataframe object

	invisible(lapply(split(DATAFRAME, DATAFRAME$year), function(x) {
	assign(paste0("year", x$year[1]), x, pos=.GlobalEnv) }))

	# You can change the sort value to country or whatever other variable
	# you like by changing all instances of "year" to whatever the other

	#!/usr/bin/env python3

	import re
	import os
	import sys
	import requests
	import argparse

	# This website allows information about a paper to be retrieved by accessing
	# http://dx.doi.org/DOI

	library(ggplot2)
	library(Cairo) # MAGIC PACKAGE

	fake.data <- data.frame(x = rnorm(100), y = rnorm(100), z = rbinom(100, 1, 0.5))

	p <- ggplot(fake.data, aes(x=x, y=y)) +
	geom_line() +
	labs(x="Science", y="More science", title="Here's a title") +
	facet_wrap(~ z) +
	theme_bw() +

	#!/usr/bin/python

	import argparse
	import json
	import re
	import sys
	import uuid


	class OpenVPNNetworkConfiguration(object):

	#!/usr/bin/python
	# Title: Reddit Data Mining Script
	# Authors: Clay McLeod
	# Description: This script mines JSON data
	# from the Reddit front page and stores it
	# as a CSV file for analysis.
	# Section: Python
	# Subsection: Data Science

	want=["domain", "subreddit", "subreddit_id" "id", "author", "score", "over_18", "downs", "created_utc", "ups", "num_comments"]

	#!/usr/bin/env bash

	set -Eeuo pipefail
	trap cleanup SIGINT SIGTERM ERR EXIT

	script_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd -P)

	usage() {
	cat <<EOF
	Usage: $(basename "${BASH_SOURCE[0]}") [-h] [-v] [-f] -p param_value arg1 [arg2...]

	blueprint:
	name: Yet Another Motion Automation
	description: >
	# YAMA V10


	Turn on lights or scenes when motion is detected.

	Four different scenes can be defined depending on time of day.

	blueprint:
	name: ADUROLIGHT ERIA 4 Button Dimming Switch (works with ZHA)
	description: Automate ADUROLIGHT ERIA 4 Button Dimming Switch using ZHA events to control entities.
	domain: automation
	input:
	target_switch:
	name: Select Target Switch
	selector:
	device:
	integration: zha