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README.JAVA.txt: trivial whitespace cleanup

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Jeff Squyres 2014-08-15 17:05:24 +00:00
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README.JAVA.txt
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@ -10,7 +10,7 @@ CONTINUED DEVELOPER SUPPORT.
*************************************************************************** ***************************************************************************
This version of Open MPI provides support for Java-based This version of Open MPI provides support for Java-based
MPI applications. MPI applications.
The rest of this document provides step-by-step instructions on The rest of this document provides step-by-step instructions on
building OMPI with Java bindings, and compiling and running building OMPI with Java bindings, and compiling and running
@ -33,7 +33,7 @@ for Open MPI Java bindings, but they were later totally rewritten.
============================================================================ ============================================================================
Building Java Bindings Building Java Bindings
If this software was obtained as a developer-level If this software was obtained as a developer-level
checkout as opposed to a tarball, you will need to start your build by checkout as opposed to a tarball, you will need to start your build by
@ -124,28 +124,28 @@ be invoked by all MPI Java applications. The following example illustrates
these concepts: these concepts:
import mpi.*; import mpi.*;
class ComputePi { class ComputePi {
public static void main(String args[]) throws MPIException { public static void main(String args[]) throws MPIException {
MPI.Init(args); MPI.Init(args);
int rank = MPI.COMM_WORLD.getRank(), int rank = MPI.COMM_WORLD.getRank(),
size = MPI.COMM_WORLD.getSize(), size = MPI.COMM_WORLD.getSize(),
nint = 100; // Intervals. nint = 100; // Intervals.
double h = 1.0/(double)nint, sum = 0.0; double h = 1.0/(double)nint, sum = 0.0;
for(int i=rank+1; i<=nint; i+=size) { for(int i=rank+1; i<=nint; i+=size) {
double x = h * ((double)i - 0.5); double x = h * ((double)i - 0.5);
sum += (4.0 / (1.0 + x * x)); sum += (4.0 / (1.0 + x * x));
} }
double sBuf[] = { h * sum }, double sBuf[] = { h * sum },
rBuf[] = new double[1]; rBuf[] = new double[1];
MPI.COMM_WORLD.reduce(sBuf, rBuf, 1, MPI.DOUBLE, MPI.SUM, 0); MPI.COMM_WORLD.reduce(sBuf, rBuf, 1, MPI.DOUBLE, MPI.SUM, 0);
if(rank == 0) System.out.println("PI: " + rBuf[0]); if(rank == 0) System.out.println("PI: " + rBuf[0]);
MPI.Finalize(); MPI.Finalize();
} }