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hdf5/testpar/t_coll_chunk.c
Dana Robinson 0aa06db0a4 [svn-r24380] The parallel test code now uses HDfree, HDmalloc, and HDcalloc 
exclusively.

Part of the preparation for a fix for HDFFV-8551.

Tested on:
    32-bit LE linux (jam) w/ parallel and Fortran.

There are no behavior changes, so testing was minimal.
2013-10-31 02:44:00 -05:00

1050 lines
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* Copyright by The HDF Group. *
* Copyright by the Board of Trustees of the University of Illinois. *
* All rights reserved. *
* *
* This file is part of HDF5. The full HDF5 copyright notice, including *
* terms governing use, modification, and redistribution, is contained in *
* the files COPYING and Copyright.html. COPYING can be found at the root *
* of the source code distribution tree; Copyright.html can be found at the *
* root level of an installed copy of the electronic HDF5 document set and *
* is linked from the top-level documents page. It can also be found at *
* http://hdfgroup.org/HDF5/doc/Copyright.html. If you do not have *
* access to either file, you may request a copy from help@hdfgroup.org. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
#include "testphdf5.h"
#include "H5Dprivate.h"
/* some commonly used routines for collective chunk IO tests*/
static void ccslab_set(int mpi_rank,int mpi_size,hsize_t start[],hsize_t count[],
hsize_t stride[],hsize_t block[],int mode);
static void ccdataset_fill(hsize_t start[],hsize_t count[],
hsize_t stride[],hsize_t block[],DATATYPE*dataset);
static void ccdataset_print(hsize_t start[],hsize_t block[],DATATYPE*dataset);
static int ccdataset_vrfy(hsize_t start[], hsize_t count[], hsize_t stride[],
hsize_t block[], DATATYPE *dataset, DATATYPE *original);
static void coll_chunktest(const char* filename,int chunk_factor,int select_factor,int api_option);
/*-------------------------------------------------------------------------
* Function: coll_chunk1
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with a single chunk
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: One big singluar selection inside one chunk
* Two dimensions,
*
* dim1 = SPACE_DIM1(5760)*mpi_size
* dim2 = SPACE_DIM2(3)
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1(5760)
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
* ------------------------------------------------------------------------
*/
void
coll_chunk1(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 1, BYROW_CONT, API_NONE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk2
*
* Purpose: Wrapper to test the collective chunk IO for regular DISJOINT
selection with a single chunk
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: many disjoint selections inside one chunk
* Two dimensions,
*
* dim1 = SPACE_DIM1*mpi_size(5760)
* dim2 = SPACE_DIM2(3)
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 3 for all dimensions
* count0 = SPACE_DIM1/stride0(5760/3)
* count1 = SPACE_DIM2/stride(3/3 = 1)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk2(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 1, BYROW_DISCONT, API_NONE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk3
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2(3)
* chunk_dim1 = SPACE_DIM1
* chunk_dim2 = dim2/2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk3(void)
{
const char *filename = GetTestParameters();
int mpi_size;
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
coll_chunktest(filename, mpi_size, BYROW_CONT, API_NONE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk4
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk4(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 1, BYROW_SELECTNONE, API_NONE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk4
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk5(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTUNBALANCE, API_LINK_HARD);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk6
*
* Purpose: Test direct request for multi-chunk-io.
* Wrapper to test the collective chunk IO for regular JOINT
* selection with at least number of 2*mpi_size chunks
* Test for direct to Multi Chunk I/O.
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk6(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTUNBALANCE, API_MULTI_HARD);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk7
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk7(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTUNBALANCE, API_LINK_TRUE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk8
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk8(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTUNBALANCE, API_LINK_FALSE);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk9
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk9(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTUNBALANCE, API_MULTI_COLL);
}
/*-------------------------------------------------------------------------
* Function: coll_chunk10
*
* Purpose: Wrapper to test the collective chunk IO for regular JOINT
selection with at least number of 2*mpi_size chunks
*
* Return: Success: 0
*
* Failure: -1
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
/* ------------------------------------------------------------------------
* Descriptions for the selection: one singular selection accross many chunks
* Two dimensions, Num of chunks = 2* mpi_size
*
* dim1 = SPACE_DIM1*mpi_size
* dim2 = SPACE_DIM2
* chunk_dim1 = dim1
* chunk_dim2 = dim2
* block = 1 for all dimensions
* stride = 1 for all dimensions
* count0 = SPACE_DIM1
* count1 = SPACE_DIM2(3)
* start0 = mpi_rank*SPACE_DIM1
* start1 = 0
*
* ------------------------------------------------------------------------
*/
void
coll_chunk10(void)
{
const char *filename = GetTestParameters();
coll_chunktest(filename, 4, BYROW_SELECTINCHUNK, API_MULTI_IND);
}
/*-------------------------------------------------------------------------
* Function: coll_chunktest
*
* Purpose: The real testing routine for regular selection of collective
chunking storage
testing both write and read,
If anything fails, it may be read or write. There is no
separation test between read and write.
*
* Return: Success: 0
*
* Failure: -1
*
* Modifications:
* Remove invalid temporary property checkings for API_LINK_HARD and
* API_LINK_TRUE cases.
* Programmer: Jonathan Kim
* Date: 2012-10-10
*
* Programmer: Unknown
* July 12th, 2004
*
* Modifications:
*
*-------------------------------------------------------------------------
*/
static void
coll_chunktest(const char* filename,
int chunk_factor,
int select_factor,
int api_option)
{
hid_t file,dataset, file_dataspace;
hid_t acc_plist,xfer_plist,crp_plist;
hsize_t dims[RANK], chunk_dims[RANK];
int* data_array1 = NULL;
int* data_origin1 = NULL;
hsize_t start[RANK],count[RANK],stride[RANK],block[RANK];
#ifdef H5_HAVE_INSTRUMENTED_LIBRARY
unsigned prop_value;
#endif /* H5_HAVE_INSTRUMENTED_LIBRARY */
hbool_t use_gpfs = FALSE;
int mpi_size,mpi_rank;
herr_t status;
MPI_Comm comm = MPI_COMM_WORLD;
MPI_Info info = MPI_INFO_NULL;
/* set up MPI parameters */
MPI_Comm_size(comm,&mpi_size);
MPI_Comm_rank(comm,&mpi_rank);
/* Create the data space */
acc_plist = create_faccess_plist(comm,info,facc_type,use_gpfs);
VRFY((acc_plist >= 0),"");
file = H5Fcreate(filename,H5F_ACC_TRUNC,H5P_DEFAULT,acc_plist);
VRFY((file >= 0),"H5Fcreate succeeded");
status = H5Pclose(acc_plist);
VRFY((status >= 0),"");
/* setup dimensionality object */
dims[0] = SPACE_DIM1*mpi_size;
dims[1] = SPACE_DIM2;
/* allocate memory for data buffer */
data_array1 = (int *)HDmalloc(dims[0] * dims[1] * sizeof(int));
VRFY((data_array1 != NULL), "data_array1 malloc succeeded");
/* set up dimensions of the slab this process accesses */
ccslab_set(mpi_rank, mpi_size, start, count, stride, block, select_factor);
file_dataspace = H5Screate_simple(2, dims, NULL);
VRFY((file_dataspace >= 0), "file dataspace created succeeded");
crp_plist = H5Pcreate(H5P_DATASET_CREATE);
VRFY((crp_plist >= 0),"");
/* Set up chunk information. */
chunk_dims[0] = dims[0]/chunk_factor;
/* to decrease the testing time, maintain bigger chunk size */
(chunk_factor == 1) ? (chunk_dims[1] = SPACE_DIM2) : (chunk_dims[1] = SPACE_DIM2/2);
status = H5Pset_chunk(crp_plist, 2, chunk_dims);
VRFY((status >= 0),"chunk creation property list succeeded");
dataset = H5Dcreate2(file, DSET_COLLECTIVE_CHUNK_NAME, H5T_NATIVE_INT,
file_dataspace, H5P_DEFAULT, crp_plist, H5P_DEFAULT);
VRFY((dataset >= 0),"dataset created succeeded");
status = H5Pclose(crp_plist);
VRFY((status >= 0), "");
/*put some trivial data in the data array */
ccdataset_fill(start, stride, count,block, data_array1);
MESG("data_array initialized");
status = H5Sselect_hyperslab(file_dataspace, H5S_SELECT_SET, start, stride,
count, block);
VRFY((status >= 0),"hyperslab selection succeeded");
/* set up the collective transfer property list */
xfer_plist = H5Pcreate(H5P_DATASET_XFER);
VRFY((xfer_plist >= 0), "");
status = H5Pset_dxpl_mpio(xfer_plist, H5FD_MPIO_COLLECTIVE);
VRFY((status>= 0),"MPIO collective transfer property succeeded");
if(dxfer_coll_type == DXFER_INDEPENDENT_IO) {
status = H5Pset_dxpl_mpio_collective_opt(xfer_plist, H5FD_MPIO_INDIVIDUAL_IO);
VRFY((status>= 0),"set independent IO collectively succeeded");
}
switch(api_option){
case API_LINK_HARD:
status = H5Pset_dxpl_mpio_chunk_opt(xfer_plist,H5FD_MPIO_CHUNK_ONE_IO);
VRFY((status>= 0),"collective chunk optimization succeeded");
break;
case API_MULTI_HARD:
status = H5Pset_dxpl_mpio_chunk_opt(xfer_plist,H5FD_MPIO_CHUNK_MULTI_IO);
VRFY((status>= 0),"collective chunk optimization succeeded ");
break;
case API_LINK_TRUE:
status = H5Pset_dxpl_mpio_chunk_opt_num(xfer_plist,2);
VRFY((status>= 0),"collective chunk optimization set chunk number succeeded");
break;
case API_LINK_FALSE:
status = H5Pset_dxpl_mpio_chunk_opt_num(xfer_plist,6);
VRFY((status>= 0),"collective chunk optimization set chunk number succeeded");
break;
case API_MULTI_COLL:
status = H5Pset_dxpl_mpio_chunk_opt_num(xfer_plist,8);/* make sure it is using multi-chunk IO */
VRFY((status>= 0),"collective chunk optimization set chunk number succeeded");
status = H5Pset_dxpl_mpio_chunk_opt_ratio(xfer_plist,50);
VRFY((status>= 0),"collective chunk optimization set chunk ratio succeeded");
break;
case API_MULTI_IND:
status = H5Pset_dxpl_mpio_chunk_opt_num(xfer_plist,8);/* make sure it is using multi-chunk IO */
VRFY((status>= 0),"collective chunk optimization set chunk number succeeded");
status = H5Pset_dxpl_mpio_chunk_opt_ratio(xfer_plist,100);
VRFY((status>= 0),"collective chunk optimization set chunk ratio succeeded");
break;
default:
;
}
#ifdef H5_HAVE_INSTRUMENTED_LIBRARY
if(facc_type == FACC_MPIO) {
switch(api_option) {
case API_LINK_HARD:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_LINK_HARD_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
case API_MULTI_HARD:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_MULTI_HARD_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
case API_LINK_TRUE:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_LINK_NUM_TRUE_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
case API_LINK_FALSE:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_LINK_NUM_FALSE_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
case API_MULTI_COLL:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_MULTI_RATIO_COLL_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
case API_MULTI_IND:
prop_value = H5D_XFER_COLL_CHUNK_DEF;
status = H5Pinsert2(xfer_plist, H5D_XFER_COLL_CHUNK_MULTI_RATIO_IND_NAME, H5D_XFER_COLL_CHUNK_SIZE, &prop_value,
NULL, NULL, NULL, NULL, NULL, NULL);
VRFY((status >= 0),"testing property list inserted succeeded");
break;
default:
;
}
}
#endif
/* write data collectively */
status = H5Dwrite(dataset, H5T_NATIVE_INT, H5S_ALL, file_dataspace,
xfer_plist, data_array1);
VRFY((status >= 0),"dataset write succeeded");
#ifdef H5_HAVE_INSTRUMENTED_LIBRARY
if(facc_type == FACC_MPIO) {
switch(api_option){
case API_LINK_HARD:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_LINK_HARD_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set LINK COLLECTIVE IO directly succeeded");
break;
case API_MULTI_HARD:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_MULTI_HARD_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set MULTI-CHUNK COLLECTIVE IO optimization succeeded");
break;
case API_LINK_TRUE:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_LINK_NUM_TRUE_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set LINK COLLECTIVE IO succeeded");
break;
case API_LINK_FALSE:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_LINK_NUM_FALSE_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set LINK IO transferring to multi-chunk IO succeeded");
break;
case API_MULTI_COLL:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_MULTI_RATIO_COLL_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set MULTI-CHUNK COLLECTIVE IO with optimization succeeded");
break;
case API_MULTI_IND:
status = H5Pget(xfer_plist,H5D_XFER_COLL_CHUNK_MULTI_RATIO_IND_NAME,&prop_value);
VRFY((status >= 0),"testing property list get succeeded");
VRFY((prop_value == 0),"API to set MULTI-CHUNK IO transferring to independent IO succeeded");
break;
default:
;
}
}
#endif
status = H5Dclose(dataset);
VRFY((status >= 0),"");
status = H5Pclose(xfer_plist);
VRFY((status >= 0),"property list closed");
status = H5Sclose(file_dataspace);
VRFY((status >= 0),"");
status = H5Fclose(file);
VRFY((status >= 0),"");
if (data_array1) HDfree(data_array1);
/* Use collective read to verify the correctness of collective write. */
/* allocate memory for data buffer */
data_array1 = (int *)HDmalloc(dims[0]*dims[1]*sizeof(int));
VRFY((data_array1 != NULL), "data_array1 malloc succeeded");
/* allocate memory for data buffer */
data_origin1 = (int *)HDmalloc(dims[0]*dims[1]*sizeof(int));
VRFY((data_origin1 != NULL), "data_origin1 malloc succeeded");
acc_plist = create_faccess_plist(comm, info, facc_type, use_gpfs);
VRFY((acc_plist >= 0),"MPIO creation property list succeeded");
file = H5Fopen(filename,H5F_ACC_RDONLY,acc_plist);
VRFY((file >= 0),"H5Fcreate succeeded");
status = H5Pclose(acc_plist);
VRFY((status >= 0),"");
/* open the collective dataset*/
dataset = H5Dopen2(file, DSET_COLLECTIVE_CHUNK_NAME, H5P_DEFAULT);
VRFY((dataset >= 0), "");
/* set up dimensions of the slab this process accesses */
ccslab_set(mpi_rank, mpi_size, start, count, stride, block, select_factor);
/* obtain the file dataspace*/
file_dataspace = H5Dget_space (dataset);
VRFY((file_dataspace >= 0), "");
status=H5Sselect_hyperslab(file_dataspace, H5S_SELECT_SET, start, stride, count, block);
VRFY((status >= 0), "");
/* fill dataset with test data */
ccdataset_fill(start, stride,count,block, data_origin1);
xfer_plist = H5Pcreate (H5P_DATASET_XFER);
VRFY((xfer_plist >= 0),"");
status = H5Pset_dxpl_mpio(xfer_plist, H5FD_MPIO_COLLECTIVE);
VRFY((status>= 0),"MPIO collective transfer property succeeded");
if(dxfer_coll_type == DXFER_INDEPENDENT_IO) {
status = H5Pset_dxpl_mpio_collective_opt(xfer_plist,H5FD_MPIO_INDIVIDUAL_IO);
VRFY((status>= 0),"set independent IO collectively succeeded");
}
status = H5Dread(dataset, H5T_NATIVE_INT, H5S_ALL, file_dataspace,
xfer_plist, data_array1);
VRFY((status >=0),"dataset read succeeded");
/* verify the read data with original expected data */
status = ccdataset_vrfy(start, count, stride, block, data_array1, data_origin1);
if (status) nerrors++;
status = H5Pclose(xfer_plist);
VRFY((status >= 0),"property list closed");
/* close dataset collectively */
status=H5Dclose(dataset);
VRFY((status >= 0), "");
/* release all IDs created */
H5Sclose(file_dataspace);
/* close the file collectively */
H5Fclose(file);
/* release data buffers */
if (data_array1) HDfree(data_array1);
if (data_origin1) HDfree(data_origin1);
}
/* Set up the selection */
static void
ccslab_set(int mpi_rank,
int mpi_size,
hsize_t start[],
hsize_t count[],
hsize_t stride[],
hsize_t block[],
int mode)
{
switch (mode){
case BYROW_CONT:
/* Each process takes a slabs of rows. */
block[0] = 1;
block[1] = 1;
stride[0] = 1;
stride[1] = 1;
count[0] = SPACE_DIM1;
count[1] = SPACE_DIM2;
start[0] = mpi_rank*count[0];
start[1] = 0;
break;
case BYROW_DISCONT:
/* Each process takes several disjoint blocks. */
block[0] = 1;
block[1] = 1;
stride[0] = 3;
stride[1] = 3;
count[0] = SPACE_DIM1/(stride[0]*block[0]);
count[1] = (SPACE_DIM2)/(stride[1]*block[1]);
start[0] = SPACE_DIM1*mpi_rank;
start[1] = 0;
break;
case BYROW_SELECTNONE:
/* Each process takes a slabs of rows, there are
no selections for the last process. */
block[0] = 1;
block[1] = 1;
stride[0] = 1;
stride[1] = 1;
count[0] = ((mpi_rank >= MAX(1,(mpi_size-2)))?0:SPACE_DIM1);
count[1] = SPACE_DIM2;
start[0] = mpi_rank*count[0];
start[1] = 0;
break;
case BYROW_SELECTUNBALANCE:
/* The first one-third of the number of processes only
select top half of the domain, The rest will select the bottom
half of the domain. */
block[0] = 1;
count[0] = 2;
stride[0] = SPACE_DIM1*mpi_size/4+1;
block[1] = SPACE_DIM2;
count[1] = 1;
start[1] = 0;
stride[1] = 1;
if((mpi_rank *3)<(mpi_size*2)) start[0] = mpi_rank;
else start[0] = 1 + SPACE_DIM1*mpi_size/2 + (mpi_rank-2*mpi_size/3);
break;
case BYROW_SELECTINCHUNK:
/* Each process will only select one chunk */
block[0] = 1;
count[0] = 1;
start[0] = mpi_rank*SPACE_DIM1;
stride[0]= 1;
block[1] = SPACE_DIM2;
count[1] = 1;
stride[1]= 1;
start[1] = 0;
break;
default:
/* Unknown mode. Set it to cover the whole dataset. */
block[0] = SPACE_DIM1*mpi_size;
block[1] = SPACE_DIM2;
stride[0] = block[0];
stride[1] = block[1];
count[0] = 1;
count[1] = 1;
start[0] = 0;
start[1] = 0;
break;
}
if (VERBOSE_MED){
printf("start[]=(%lu,%lu), count[]=(%lu,%lu), stride[]=(%lu,%lu), block[]=(%lu,%lu), total datapoints=%lu\n",
(unsigned long)start[0], (unsigned long)start[1], (unsigned long)count[0], (unsigned long)count[1],
(unsigned long)stride[0], (unsigned long)stride[1], (unsigned long)block[0], (unsigned long)block[1],
(unsigned long)(block[0]*block[1]*count[0]*count[1]));
}
}
/*
* Fill the dataset with trivial data for testing.
* Assume dimension rank is 2.
*/
static void
ccdataset_fill(hsize_t start[],
hsize_t stride[],
hsize_t count[],
hsize_t block[],
DATATYPE * dataset)
{
DATATYPE *dataptr = dataset;
DATATYPE *tmptr;
hsize_t i,j,k1,k2;
/* put some trivial data in the data_array */
tmptr = dataptr;
/* assign the disjoint block (two-dimensional)data array value
through the pointer */
for (k1 = 0; k1 < count[0]; k1++) {
for(i = 0; i < block[0]; i++) {
for(k2 = 0; k2 < count[1]; k2++) {
for(j = 0;j < block[1]; j++) {
dataptr = tmptr + ((start[0]+k1*stride[0]+i)*SPACE_DIM2+
start[1]+k2*stride[1]+j);
*dataptr = (DATATYPE)(k1+k2+i+j);
}
}
}
}
}
/*
* Print the first block of the content of the dataset.
*/
static void
ccdataset_print(hsize_t start[],
hsize_t block[],
DATATYPE * dataset)
{
DATATYPE *dataptr = dataset;
hsize_t i, j;
/* print the column heading */
printf("Print only the first block of the dataset\n");
printf("%-8s", "Cols:");
for (j=0; j < block[1]; j++){
printf("%3lu ", (unsigned long)(start[1]+j));
}
printf("\n");
/* print the slab data */
for (i=0; i < block[0]; i++){
printf("Row %2lu: ", (unsigned long)(i+start[0]));
for (j=0; j < block[1]; j++){
printf("%03d ", *dataptr++);
}
printf("\n");
}
}
/*
* Print the content of the dataset.
*/
static int
ccdataset_vrfy(hsize_t start[],
hsize_t count[],
hsize_t stride[],
hsize_t block[],
DATATYPE *dataset,
DATATYPE *original)
{
hsize_t i, j,k1,k2;
int vrfyerrs;
DATATYPE *dataptr,*oriptr;
/* print it if VERBOSE_MED */
if (VERBOSE_MED) {
printf("dataset_vrfy dumping:::\n");
printf("start(%lu, %lu), count(%lu, %lu), stride(%lu, %lu), block(%lu, %lu)\n",
(unsigned long)start[0], (unsigned long)start[1], (unsigned long)count[0], (unsigned long)count[1],
(unsigned long)stride[0], (unsigned long)stride[1], (unsigned long)block[0], (unsigned long)block[1]);
printf("original values:\n");
ccdataset_print(start, block, original);
printf("compared values:\n");
ccdataset_print(start, block, dataset);
}
vrfyerrs = 0;
for (k1 = 0; k1 < count[0];k1++) {
for(i = 0;i < block[0];i++) {
for(k2 = 0; k2<count[1];k2++) {
for(j=0;j<block[1];j++) {
dataptr = dataset + ((start[0]+k1*stride[0]+i)*SPACE_DIM2+
start[1]+k2*stride[1]+j);
oriptr = original + ((start[0]+k1*stride[0]+i)*SPACE_DIM2+
start[1]+k2*stride[1]+j);
if (*dataptr != *oriptr){
if (vrfyerrs++ < MAX_ERR_REPORT || VERBOSE_MED){
printf("Dataset Verify failed at [%lu][%lu]: expect %d, got %d\n",
(unsigned long)i, (unsigned long)j,
*(original), *(dataset));
}
}
}
}
}
}
if (vrfyerrs > MAX_ERR_REPORT && !VERBOSE_MED)
printf("[more errors ...]\n");
if (vrfyerrs)
printf("%d errors found in ccdataset_vrfy\n", vrfyerrs);
return(vrfyerrs);
}
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