97763c1071
Purpose:
Update
Description:
Added a new testing program into this file. It shows the way that
does parallel computation and serialized I/O.
443 lines
12 KiB
HTML
443 lines
12 KiB
HTML
<pre>
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Using HDF5 with OpenMP
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----------------------
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I. Introduction to OpenMP
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- For shared-memory parallelism
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- A combination of library and directives
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- Available for C/C++ and Fortran
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- SGI leading effort
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- Information at http://www.openmp.org and
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http://www.sgi.com/software/openmp
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II. Programming(SGI MPISpro compiler and C language)
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- Turn on compiler '-mp' option
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- Include 'omp.h' library in program
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- Use library functions, directives and environment variables
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III. Sample Programs
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Attached are four OpenMP-HDF5 test programs. The purpose of these tests is to
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experience OpenMP parallelism with HDF5. All the tests were run on modi4 with
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SGI MPISpro compiler(cc) and make. The first two are the working
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program. The two following only work occasionally. I modify them directly
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from hdf5/examples/h5_write.c. If you want to try them out, the quickest way
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is
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1. have your hdf5 program compiled,
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2. go to hdf5/examples directory,
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3. add -mp option to the end of the CFLAGS list in the Makefile. If you
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have the compiled program in another directory, you should go to the
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examples in that directory.
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4. modify the hdf5/examples/h5_write.c according to the program attached
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here.
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5. use hdf5/tools/h5dump to examine the output file.
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I. First Program
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-------------------------------------------------------------------------------
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/*
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* This example writes 64 datasets to a HDF5 file, using multiple threads
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* (OpenMP). Each thread grab the lock while it tries to call HDF5 functions
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* to write out dataset. In this way, the HDF5 calls are serialized, while
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* the calculation part is in parallel. This is one of the ways to do
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* OpenMP computation with HDF. As long as not to do HDF I/O in parallel,
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* it is safe to use HDF.
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*/
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#include <hdf5.h>
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#include <omp.h>
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#include <math.h>
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#define NUM_THREADS 4
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#define NUM_MDSET 16
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#define FILE "SDS.h5"
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#define NX 5 /* dataset dimensions */
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#define NY 18
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#define RANK 2
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void CalcWriteData(hid_t, hid_t, hid_t);
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/*Global variable, OpenMP lock*/
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omp_lock_t lock;
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int
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main (void)
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{
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hid_t fid; /* file and dataset handles */
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hid_t datatype, dataspace; /* handles */
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hsize_t dimsf[2]; /* dataset dimensions */
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herr_t status;
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int i;
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/*
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* Create a new file using H5F_ACC_TRUNC access,
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* default file creation properties, and default file
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* access properties.
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*/
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fid = H5Fcreate(FILE, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT);
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/*
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* Describe the size of the array and create the data space for fixed
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* size dataset.
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*/
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dimsf[0] = NX;
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dimsf[1] = NY;
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dataspace = H5Screate_simple(RANK, dimsf, NULL);
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/*
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* Define datatype for the data in the file.
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* We will store little endian INT numbers.
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*/
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datatype = H5Tcopy(H5T_NATIVE_DOUBLE);
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status = H5Tset_order(datatype, H5T_ORDER_LE);
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/*Disable dynamic allocation of threads*/
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omp_set_dynamic(0);
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/*Allocate threads*/
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omp_set_num_threads(NUM_THREADS);
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/*Initialize lock*/
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omp_init_lock(&lock);
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/*Each thread grab one iteration in the for loop and call function
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* CaclWriteData*/
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#pragma omp parallel default(shared)
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{
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#pragma omp for
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for(i=0; i<NUM_THREADS; i++) {
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CalcWriteData(fid, dataspace, datatype);
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}
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}
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/*Finished lock mechanism, destroy it*/
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omp_destroy_lock(&lock);
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/*
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* Close/release resources.
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*/
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H5Sclose(dataspace);
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H5Tclose(datatype);
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H5Fclose(fid);
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return 0;
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}
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/*Each thread will call this function independantly. They calculate dataset
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*and then write it out to hdf, for NUM_MDSET times */
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void CalcWriteData(hid_t fid, hid_t dataspace, hid_t datatype)
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{
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double data[NX][NY];
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hid_t dataset;
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char dname[16];
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int tid;
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int i, j, k;
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tid = omp_get_thread_num();
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for(i=0; i<NUM_MDSET; i++) {
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/*Weird calculation to extend computing time*/
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for(j=0; j<NX; j++) {
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for(k=0; k<NY; k++)
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data[j][k] = ( pow(sin(tid), 2.0) + pow(cos(tid), 2.0) ) *
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( tid + i ) +
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( pow(123456789.0, 8.0) - pow(123456789.0, 8.0) );
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}
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sprintf(dname, "tid%d-dataset%d", tid, i);
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/*Serialize HDF dataset writing using OpenMP lock*/
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omp_set_lock(&lock);
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dataset = H5Dcreate(fid, dname, datatype, dataspace, H5P_DEFAULT);
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H5Dwrite(dataset, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, H5P_DEFAULT,
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data);
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H5Dclose(dataset);
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/*Release lock*/
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omp_unset_lock(&lock);
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}
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}
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II. Second Program
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-------------------------------------------------------------------------------
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/*
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* This example compute the element values of an array in parallel
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* by two threads. Then write this dataset into HDF file. This is
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* one of the ways to do OpenMP computation with HDF. As long as
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* not to do HDF I/O in parallel, it is safe to use HDF.
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*
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*/
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#include <hdf5.h>
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#include <omp.h>
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#define FILE "SDS.h5"
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#define DATASETNAME "IntArray"
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#define NX 5 /* dataset dimensions */
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#define NY 6
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#define RANK 2
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int
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main (void)
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{
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hid_t file, dataset; /* file and dataset handles */
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hid_t datatype, dataspace; /* handles */
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hsize_t dimsf[2]; /* dataset dimensions */
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herr_t status;
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int data[NX][NY]; /* data to write */
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int i, j;
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/*
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* Create a new file using H5F_ACC_TRUNC access,
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* default file creation properties, and default file
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* access properties.
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*/
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file = H5Fcreate(FILE, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT);
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/*
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* Describe the size of the array and create the data space for fixed
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* size dataset.
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*/
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dimsf[0] = NX;
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dimsf[1] = NY;
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dataspace = H5Screate_simple(RANK, dimsf, NULL);
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/*
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* Define datatype for the data in the file.
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* We will store little endian INT numbers.
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*/
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datatype = H5Tcopy(H5T_NATIVE_INT);
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status = H5Tset_order(datatype, H5T_ORDER_LE);
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/* Disable dynamic allocation of threads. */
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omp_set_dynamic(0);
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/* Allocate 2 threads */
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omp_set_num_threads(2);
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/* Parallel computation. Let 2 threads handle this nested for loops
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* in parallel. Only one data array is computed. */
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#pragma omp parallel default(shared)
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{
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#pragma omp for
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for (j = 0; j < NX; j++) {
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#pragma omp parallel shared(j, NY)
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{
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#pragma omp for
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for (i = 0; i < NY; i++)
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data[j][i] = i + j;
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}
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}
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}
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/* Write this dataset into HDF file */
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dataset = H5Dcreate(file, DATASETNAME, datatype, dataspace,
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H5P_DEFAULT);
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H5Dwrite(dataset, H5T_NATIVE_INT, H5S_ALL, H5S_ALL,
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H5P_DEFAULT, data);
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H5Dclose(dataset);
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/*
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* Close/release resources.
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*/
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H5Sclose(dataspace);
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H5Tclose(datatype);
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H5Fclose(file);
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return 0;
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}
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III. Third Program
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-------------------------------------------------------------------------------
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/*
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* This example create two threads. Each thread writes a dataset to
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* the HDF5 file in parallel. This program only works occasionally.
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*/
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#include <hdf5.h>
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#include <omp.h>
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#define FILE "SDS.h5"
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#define NX 5 /* dataset dimensions */
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#define NY 6
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#define RANK 2
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void writeData(int, hid_t, hid_t, hid_t, char*);
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int main (void)
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{
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hid_t file; /* file and dataset handles */
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hid_t datatype, dataspace; /* handles */
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hsize_t dimsf[2]; /* dataset dimensions */
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herr_t status;
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int id;
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char dname[2][10] = {"Array1", "Array2"};
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/*
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* Create a new file using H5F_ACC_TRUNC access,
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* default file creation properties, and default file
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* access properties.
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*/
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file = H5Fcreate(FILE, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT);
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/*
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* Describe the size of the array and create the data space for fixed
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* size dataset.
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*/
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dimsf[0] = NX;
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dimsf[1] = NY;
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dataspace = H5Screate_simple(RANK, dimsf, NULL);
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/*
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* Define datatype for the data in the file.
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* We will store little endian INT numbers.
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*/
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datatype = H5Tcopy(H5T_NATIVE_INT);
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status = H5Tset_order(datatype, H5T_ORDER_LE);
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/*Disable dynamic allocation of threads*/
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omp_set_dynamic(0);
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/*Allocate 2 threads*/
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omp_set_num_threads(2);
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/*Parallel Part: each thread call function writeData; id is private to
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* thread while others are shared */
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#pragma omp parallel shared(file, dataspace, datatype, dname) private(id)
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{
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id = omp_get_thread_num();
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writeData(id, file, dataspace, datatype, dname[id]);
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}
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/*
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* Close/release resources.
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*/
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H5Sclose(dataspace);
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H5Tclose(datatype);
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H5Fclose(file);
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return 0;
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}
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/*Each thread call this function to write a dataset into HDF5 file*/
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void writeData(int id, hid_t file, hid_t dataspace, hid_t datatype, char *dname)
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{
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int data[NX][NY];
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hid_t dataset;
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int i, j;
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for (j = 0; j < NX; j++) {
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for (i = 0; i < NY; i++)
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data[j][i] = i + j + id;
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}
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dataset = H5Dcreate(file, dname, datatype, dataspace,
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H5P_DEFAULT);
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H5Dwrite(dataset, H5T_NATIVE_INT, H5S_ALL, H5S_ALL,
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H5P_DEFAULT, data);
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H5Dclose(dataset);
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}
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IV. Fourth Program
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-------------------------------------------------------------------------------
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/*
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* This example compute and write two datasets into HDF file in
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* parallel. It also only works occasionally.
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*/
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#include <hdf5.h>
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#include <omp.h>
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#define FILE "SDS.h5"
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#define DATASETNAME "IntArray"
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#define NX 5 /* dataset dimensions */
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#define NY 6
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#define RANK 2
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int
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main (void)
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{
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hid_t file, dataset; /* file and dataset handles */
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hid_t datatype, dataspace; /* handles */
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hsize_t dimsf[2]; /* dataset dimensions */
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herr_t status;
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int data[NX][NY]; /* data to write */
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int i, j, id;
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char dname[2][10] = {"intArray1", "intArray2"};
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/*
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* Create a new file using H5F_ACC_TRUNC access,
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* default file creation properties, and default file
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* access properties.
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*/
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file = H5Fcreate(FILE, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT);
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/*
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* Describe the size of the array and create the data space for fixed
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* size dataset.
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*/
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dimsf[0] = NX;
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dimsf[1] = NY;
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dataspace = H5Screate_simple(RANK, dimsf, NULL);
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/*
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* Define datatype for the data in the file.
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* We will store little endian INT numbers.
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*/
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datatype = H5Tcopy(H5T_NATIVE_INT);
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status = H5Tset_order(datatype, H5T_ORDER_LE);
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omp_set_dynamic(0);
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omp_set_num_threads(2);
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/* This part of program compute and write two datasets in parallel. */
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#pragma omp parallel shared(file, datatype, dataspace, dname) private(id, j, i, data, dataset)
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{
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id = omp_get_thread_num();
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for (j = 0; j < NX; j++) {
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for (i = 0; i < NY; i++)
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data[j][i] = i + j + id;
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}
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dataset = H5Dcreate(file, dname[id], datatype, dataspace,
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H5P_DEFAULT);
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H5Dwrite(dataset, H5T_NATIVE_INT, H5S_ALL, H5S_ALL,
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H5P_DEFAULT, data);
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H5Dclose(dataset);
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}
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/*
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* Close/release resources.
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*/
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H5Sclose(dataspace);
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H5Tclose(datatype);
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H5Fclose(file);
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return 0;
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}
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---
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Updated: 2000/10/31
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Contact: hdfhelp@ncsa.uiuc.edu
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</pre>
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