Daniel Wheeler wd15

Simulation Management Tools

An important part of the MGI effort is providing infrastructure and tools to enable reproducible research in computational materials science. For reproducible research to become a widely used, repeatable human based process needs to be replaced by automated open-source logging tools. This is especially the case for simulation management, which is often poorly documented and recorded during the development stages of a research project. A good practice is to use a dedicated simulation management tool (SMT) throughout the development process

Designing a Cloud Platform for Simulation Management

[Daniel Wheeler][daniel-wheeler] and [Yannick Congo][yannick-congo]

Description

In recent years there has been a growing effort to capture and record script or simulation executions in scientific computing. Simulation managememt tools (SMTs) such as [Sumatra][sumatra], [Reprozip][reprozip] and [CDE][cde] address different aspects of the

Presentation about the CHiMaD Phase Field Website

Download and install RISE from https://github.com/damianavila/RISE to view this presentation.

Quick Start Guide for CoRR

Software development with Python

Where

West Square, Building 101

Schedule

13:00 start
14:30 coffee

Links

This gist: https://gist.github.com/wd15/d64f303b36348b0621de573536a70220

Website: http://mahdisadjadi.com/2016-08-22-johnshopkins/

Data: https://swcarpentry.github.io/python-novice-inflammation/data/python-novice-inflammation-data.zip

Setup: http://swcarpentry.github.io/python-novice-inflammation/setup/

	## Docker file to create an install using a bash script and run a
	## service.

	FROM ubuntu:15.10
	MAINTAINER wd15 "https://github.com/wd15"


	## Install only required packages for making a user as the
	## `setup.bash` script installs most of the required packages

	## Dockerfile to create devel version of CoRR

	FROM ubuntu:15.10
	MAINTAINER wd15 "https://github.com/wd15"
	ENV DEBIAN_FRONTEND noninteractive

	RUN apt-get -y update
	RUN apt-get install -y sudo
	RUN apt-get install -y apt-utils
	RUN apt-get install -y ansible

	import fipy as fp
	import numpy as np
	import matplotlib
	matplotlib.use('Agg')
	import matplotlib.pyplot as plt

	L = 1.0 # domain size
	nx = 400 # discretization
	dx = L/nx # h