{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# FiPy in Parallel on the Cluster\n", "\n", "Let's switch to running on a cluster to look at using FiPy with more parallel processes. First, let's define a script to do the FiPy run time testing. The script uses `docopt` to parse the parameters passed from the shell command. Again, a diffusion equation is being solved on a 3D grid." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%writefile fipy_timing.py\n", "\n", "\"\"\"\n", "Usage: fipy_timing.py [-h] [--N N] [--iterations ] [--suite ]\n", "\n", "Options:\n", " -h --help Show this screen.\n", " --N=N Cell number is N^3 [default: 30]\n", " --iterations= Number of iterations [default: 100]\n", " --suite= Solver suite [default: trilinos]\n", " \n", "\"\"\"\n", "\n", "from docopt import docopt\n", "import timeit\n", "import numpy as np\n", "import fipy as fp\n", "\n", "arguments = docopt(__doc__, version='Run FiPy timing')\n", "N = int(arguments['--N'])\n", "iterations = int(arguments['--iterations'])\n", "suite = arguments['--suite']\n", "\n", "attempts = 3\n", "\n", "setup_str = '''\n", "import fipy as fp\n", "import numpy as np\n", "np.random.seed(1)\n", "L = 1.\n", "N = {N:d}\n", "m = fp.GmshGrid3D(nx=N, ny=N, nz=N, dx=L / N, dy=L / N, dz=L / N)\n", "v0 = 1.\n", "for dim in range(3):\n", " x = np.linspace(0., L, N)\n", " fx = np.sum(np.array([np.sin(2 * x * np.pi * i * np.random.random()) / i for i in range(1, N)]), axis=0)\n", " v0 = np.outer(v0, fx).flatten()\n", "v = fp.CellVariable(mesh=m)\n", "v0 = np.resize(v0, len(v)) ## Gmsh doesn't always give us the correct sized grid!\n", "eqn = fp.TransientTerm(1e-3) == fp.DiffusionTerm()\n", "v[:] = v0.copy()\n", "\n", "import fipy.solvers.{suite} as solvers\n", "solver = solvers.linearPCGSolver.LinearPCGSolver(precon=None, iterations={iterations}, tolerance=1e-100)\n", "\n", "eqn.solve(v, dt=1., solver=solver)\n", "v[:] = v0.copy()\n", "'''\n", "\n", "timeit_str = '''\n", "eqn.solve(v, dt=1., solver=solver)\n", "fp.parallelComm.Barrier()\n", "'''\n", "\n", "timer = timeit.Timer(timeit_str, setup=setup_str.format(N=N, suite=suite, iterations=iterations))\n", "times = timer.repeat(attempts, 1)\n", "\n", "if fp.parallelComm.procID == 0:\n", " print min(times)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Overwriting fipy_timing.py\n" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We also need a script to launch jobs on the cluster. The `NSLOTS` variable is generated by the queing system when the job is launched as a parallel job with\n", "\n", " $ qsub -pe nodal -cwd -o launcher \n", " \n", "for example." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%writefile launcher\n", "\n", "#!/bin/bash\n", "source ~/.bashrc\n", "mpirun -np $NSLOTS python fipy_timing.py --N=$1 --iterations=$2 --suite=$3" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Writing launcher\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "!chmod +x ./launcher" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following cell launches a multidimensional set of simulations on the cluster. The time is written to a file name based on the parameter values." ] }, { "cell_type": "code", "collapsed": true, "input": [ "import itertools\n", " \n", "Ns = (10, 20, 40, 80)\n", "nps = (1, 2, 4, 8, 16, 24, 32, 48, 64)\n", "suites = ('trilinos', 'pysparse')\n", "iterations_ = (100, 200, 400, 800)\n", "\n", "for N, iterations, np_, suite in itertools.product(Ns, iterations_, nps, suites):\n", " tmpfile = 'tmp-{0}-{1}-{2}-{3}.txt'.format(N, iterations, np_, suite)\n", " !rm $tmpfile\n", " if suite == 'pysparse' and np_ > 1:\n", " pass\n", " else:\n", " !qsub -pe nodal $np_ -cwd -o $tmpfile launcher $N $iterations $suite" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ "!qstat" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following cell post processes the data into a csv file, which is saved in version control." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import os\n", "import pandas as pd\n", "\n", "def getdata():\n", " for f in os.listdir(os.getcwd()):\n", " if f.endswith('.txt') and f.startswith('tmp'): \n", " try:\n", " run_time = float(open(f).read())\n", " except:\n", " run_time = 1000.0\n", " values = f.strip('.txt').strip('tmp').split('-')[1:]\n", " fs = (int, int, int, str)\n", " data = [x(y) for x, y in zip(fs, values)]\n", " data.append(run_time)\n", " yield data\n", "\n", "df = pd.DataFrame(columns=['iterations', 'N', 'np', 'run time', 'suite'])\n", "for N, iterations, np_, suite, run_time in getdata():\n", " df = df.append({'N' : N, 'iterations' : iterations, 'np' : np_, 'suite' : suite, 'run time' : run_time}, ignore_index=True)\n", "\n", "df.to_csv('cluster.csv')" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "df = pd.read_csv('cluster.csv', index_col=0)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "Ns = sorted(set(df['N']))\n", "iterations_ = sorted(set(df['iterations']))\n", "\n", "def ax_iter(Ns, iterations_):\n", " f = plt.figure(figsize=(6 * 3, 6 * 2))\n", " for i, N in enumerate(Ns):\n", " ax = f.add_subplot(2, 3, i + 1)\n", " for iterations in iterations_:\n", " yield ax, N, iterations \n", " ax.set_title('$N={0}$'.format(N))\n", " ax.set_ylabel(\"Speed Up\")\n", " ax.set_xlabel(\"Parallel Processes\")\n", " ax.legend(loc=\"upper left\")\n", " ax.set_ylim(ymax=64)\n", " ax.set_ylim(ymin=0.5)\n", " ax.set_xlim(xmin=0.9)\n", " ax.set_xlim(xmax=64)\n", " ax.loglog((1, 64), (1, 64), 'k--')\n", " ax.legend(loc=\"upper left\")\n", " \n", "for ax, N, iterations in ax_iter(Ns, iterations_):\n", " df_sub = df[(df['iterations'] == iterations) & (df['N'] == N)]\n", " df_tril = df_sub[df_sub['suite'] == 'trilinos'].sort('np')\n", " df_pysp = df_sub[df_sub['suite'] == 'pysparse'].sort('np')\n", "\n", " nprocs = np.array(df_tril['np'])\n", " run_times = np.array(df_tril['run time'])\n", " \n", " run_time_pysp = np.array(df_pysp['run time'])\n", "\n", " if len(run_times) > 0:\n", " line = ax.loglog(nprocs, run_times[0] / run_times, label='iterations={0}'.format(iterations))\n", " if len(run_time_pysp) > 0:\n", " ax.loglog((1,), (run_times[0] / run_time_pysp[0],), line[0].get_c() + 'o', label='pysparse')\n" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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2w2AwYOLEifB4PDAajdBoNMjKykJWVlazn0tPT0dGRgZmz54dslyj0cDtdovv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CAAAg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\nEhISrr/Dd9/pVPfu6jRypO718tLGhx5SnerVS3XuxR8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"text": [ "" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The speed up graphs above correspond to different sized domains, each\n", "with $N^3$ cells. Each curve represents a different number of\n", "iterations in the solver. The dots represent the speed when switching to the\n", "PySparse solver suite (serial only). Currently results are only available up to 64 processes.\n", "The\n", "maximum number of slots that can be requested with the cluster is 64.\n", "\n", "The results show quite good scaling for the larger problems. The two\n", "smallest grid sizes have a high proportion of overlap cells and thus\n", "too much communication overhead. PySparse is better than Trilinos for\n", "the smaller system, but is within a factor of 2 for the larger\n", "systems. In the the `N=40` graph there is a considerable slow down at\n", "24 and 32 processes. This kind of variation may be due to jobs running on\n", "machines with a shared load and communication overhead (any machine\n", "may have multiple separate parallel jobs). It is possible to request\n", "64 slots or even a specific machine for each job, but would require long\n", "waits in the queue.\n", "\n", "Further work should check the reproducibility of these\n", "results. Currently the best of three time steps is used for each\n", "job. A better approach may be to launch multiple instances of the\n", "same job so that jobs are launched on different machines with alternative shared loads. The data shown here represents the first\n", "set of runs that worked in terms of execution and post-processing.\n" ] } ], "metadata": {} } ] }