157 lines
4.5 KiB
Java
157 lines
4.5 KiB
Java
//******************************************************************************
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//
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// File: PiGpu2.java
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// Package: edu.rit.gpu.example
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// Unit: Class edu.rit.gpu.example.PiGpu2
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//
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// This Java source file is copyright (C) 2014 by Alan Kaminsky. All rights
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// reserved. For further information, contact the author, Alan Kaminsky, at
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// ark@cs.rit.edu.
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//
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// This Java source file is part of the Parallel Java 2 Library ("PJ2"). PJ2 is
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// free software; you can redistribute it and/or modify it under the terms of
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// the GNU General Public License as published by the Free Software Foundation;
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// either version 3 of the License, or (at your option) any later version.
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//
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// PJ2 is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
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// A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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//
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// A copy of the GNU General Public License is provided in the file gpl.txt. You
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// may also obtain a copy of the GNU General Public License on the World Wide
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// Web at http://www.gnu.org/licenses/gpl.html.
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//
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//******************************************************************************
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package edu.rit.gpu.example;
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import edu.rit.gpu.Kernel;
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import edu.rit.gpu.Gpu;
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import edu.rit.gpu.GpuLongVbl;
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import edu.rit.gpu.Module;
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import edu.rit.pj2.LongChunk;
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import edu.rit.pj2.Section;
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import edu.rit.pj2.Task;
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import edu.rit.pj2.vbl.LongVbl;
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/**
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* Class PiGpu2 is a GPU parallel program that calculates an approximate value
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* for π using a Monte Carlo technique. The program generates a number of
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* random points in the unit square (0,0) to (1,1) and counts how many of them
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* lie within a circle of radius 1 centered at the origin. The fraction of the
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* points within the circle is approximately π/4. The program runs on a
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* single node, using all the GPUs on the node.
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* <P>
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* Usage: <TT>java pj2 edu.rit.gpu.example.PiGpu2 <I>seed</I> <I>N</I></TT>
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* <BR><TT><I>seed</I></TT> = Random seed
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* <BR><TT><I>N</I></TT> = Number of random points
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*
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* @author Alan Kaminsky
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* @version 04-Jun-2014
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*/
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public class PiGpu2
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extends Task
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{
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private static long seed;
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private static long N;
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private static LongVbl count;
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/**
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* Kernel function interface.
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*/
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private static interface PiKernel
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extends Kernel
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{
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public void computeRandomPoints
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(long seed,
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long N);
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}
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/**
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* Task main program.
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*/
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public void main
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(String[] args)
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throws Exception
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{
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// Validate command line arguments.
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if (args.length != 2) usage();
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seed = Long.parseLong (args[0]);
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N = Long.parseLong (args[1]);
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// Set up global counter variable.
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count = new LongVbl.Sum (0);
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// Run one CPU thread for each GPU on the node.
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parallelDo (Gpu.allowedDeviceCount(), new Section()
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{
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public void run() throws Exception
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{
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// Set up per-thread counter variable.
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LongVbl thrCount = threadLocal (count);
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// Initialize per-thread GPU.
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Gpu gpu = Gpu.gpu();
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gpu.ensureComputeCapability (2, 0);
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// Set up GPU counter variable.
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Module module = gpu.getModule
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("edu/rit/gpu/example/PiGpu.cubin");
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GpuLongVbl devCount = module.getLongVbl ("devCount");
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// Determine how many of the N points this thread will compute.
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long thrN = LongChunk.partition (0, N - 1, threads(), rank())
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.length() .longval();
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// Generate thrN random points in the unit square, count how
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// many are in the unit circle.
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devCount.item = 0;
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devCount.hostToDev();
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PiKernel kernel = module.getKernel (PiKernel.class);
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kernel.setBlockDim (1024);
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kernel.setGridDim (gpu.getMultiprocessorCount());
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kernel.computeRandomPoints (seed + 1000000L*rank(), thrN);
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// Get per-thread count, automatically reduced into global
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// count.
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devCount.devToHost();
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thrCount.item = devCount.item;
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}
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});
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// Print results.
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System.out.printf ("pi = 4*%d/%d = %.9f%n", count.item, N,
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4.0*count.item/N);
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}
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/**
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* Print a usage message and exit.
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*/
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private static void usage()
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{
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System.err.println ("Usage: java pj2 edu.rit.gpu.example.PiGpu2 <seed> <N>");
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System.err.println ("<seed> = Random seed");
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System.err.println ("<N> = Number of random points");
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throw new IllegalArgumentException();
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}
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/**
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* Specify that this task requires one core. (Parallel team threads will
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* share the core.)
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*/
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protected static int coresRequired()
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{
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return 1;
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}
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/**
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* Specify that this task requires all GPU accelerators on the node.
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*/
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protected static int gpusRequired()
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{
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return ALL_GPUS;
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}
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}
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