tkphd

---
metadata:
  # Describe the runtime environment
  summary: MPI parallel workstation benchmark with MMSP, periodic domain
  author: Trevor Keller
  email: [email protected]
  date: Wed, 04 Jan 2017 19:30:31 -0500
  hardware:
    # Required hardware details
    architecture: x86_64

tkphd

# Docker file to install MMSP in a Ubuntu container
# with a Jupyter notebook exposed on port 8888
#
# Cloned from https://gist.github.com/wd15/d233c706bb493c91ecd5
#

FROM ubuntu:15.10
MAINTAINER Trevor Keller "https://github.com/tkphd"

## Install only required packages for making a user as the

tkphd

from fipy import *
from scipy import interpolate
import numpy as np

##Create mesh in Polar Coordinate system (LnR,Cta)
nLnR = 100
nCta = 50
dLnR = 0.02
dCta = 2*np.pi/nCta
PL = nLnR*dLnR

tkphd

from fipy import *
from scipy import interpolate
import numpy as np

##Create mesh in the Cartesian Coordinate system (X,Y)
nx = 100
ny = nx
dx = 1.0
dy = dx
CL = nx*dx

tkphd

from fipy import *
from scipy import interpolate
import numpy as np

mesh = Grid1D(dx=3, nx=10)

datx = mesh.cellCenters[0]
daty = np.sin(4*np.pi*datx/10)

valumesh = Grid1D(dx=1, nx=10)

tkphd

# Based on https://gist.github.com/wd15/871797

import time
import fipy as fp
import numpy as np
from mpi4py import MPI

np.random.seed(1)
L = 1.
N = 30