forked from Unidata/netcdf-c
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtst_ar4_4d.c
415 lines (383 loc) · 14.2 KB
/
tst_ar4_4d.c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
/* Copyright 2009-2018, UCAR/Unidata
See COPYRIGHT file for copying and redistribution conditions.
This program tests netcdf-4 performance with some AR-4 4D data.
Ed Hartnett
*/
#include <nc_tests.h>
#include "err_macros.h"
#include <time.h>
#include <sys/time.h>
#include <unistd.h>
#define MEGABYTE 1048576
#define HALF_MEG (MEGABYTE/2)
#define MILLION 1000000
#define SIXTEEN_MEG 16777216
#define FOUR_MEG (SIXTEEN_MEG/4)
#define THIRTY_TWO_MEG (SIXTEEN_MEG * 2)
#define SIXTY_FOUR_MEG (SIXTEEN_MEG * 4)
#define ONE_TWENTY_EIGHT_MEG (SIXTEEN_MEG * 8)
/* Prototype from tst_utils.c. */
int nc4_timeval_subtract(struct timeval *result, struct timeval *x,
struct timeval *y);
/* From the data file we are using:
../ncdump/ncdump -h -s thetao_O1.SRESA1B_2.CCSM.ocnm.2000-01_cat_2099-12.nc
netcdf thetao_O1.SRESA1B_2.CCSM.ocnm.2000-01_cat_2099-12 {
dimensions:
lon = 320 ;
lat = 395 ;
depth = 40 ;
bnds = 2 ;
time = UNLIMITED ; // (1200 currently)
variables:
double lon_bnds(lon, bnds) ;
double lat_bnds(lat, bnds) ;
double depth_bnds(depth, bnds) ;
double time_bnds(time, bnds) ;
double lon(lon) ;
lon:axis = "X" ;
lon:standard_name = "longitude" ;
lon:bounds = "lon_bnds" ;
lon:long_name = "Longitude" ;
lon:units = "degrees_east" ;
double lat(lat) ;
lat:axis = "Y" ;
lat:standard_name = "latitude" ;
lat:bounds = "lat_bnds" ;
lat:long_name = "Latitude" ;
lat:units = "degrees_north" ;
double depth(depth) ;
depth:axis = "Z" ;
depth:standard_name = "depth" ;
depth:positive = "down" ;
depth:units = "m" ;
depth:bounds = "depth_bnds" ;
double time(time) ;
time:calendar = "noleap" ;
time:standard_name = "time" ;
time:axis = "T" ;
time:units = "days since 0000-1-1" ;
time:bounds = "time_bnds" ;
float thetao(time, depth, lat, lon) ;
thetao:comment = "Created using NCL code CCSM_ocnm_2cf.ncl on\n",
" machine mineral" ;
thetao:missing_value = 1.e+20f ;
thetao:long_name = "sea_water_potential_temperature" ;
thetao:cell_methods = "time: mean (interval: 1 month)" ;
thetao:history = "Interpolated to regular grid from dipole grid,\n",
"TEMP+273.15" ;
thetao:units = "K" ;
thetao:original_units = "C" ;
thetao:original_name = "TEMP" ;
thetao:standard_name = "sea_water_potential_temperature" ;
thetao:_FillValue = 1.e+20f ;
// global attributes:
:table_id = "Table O1" ;
:title = "model output prepared for IPCC AR4" ;
:institution = "NCAR (National Center for Atmospheric \n",
"Research, Boulder, CO, USA)" ;
:source = "CCSM3.0, version beta19 (2004): \n",
"atmosphere: CAM3.0, T85L26;\n",
"ocean : POP1.4.3 (modified), gx1v3\n",
"sea ice : CSIM5.0, gx1v3;\n",
"land : CLM3.0, T85" ;
:contact = "ccsm@ucar.edu" ;
:project_id = "IPCC Fourth Assessment" ;
:Conventions = "CF-1.0" ;
:references = "Collins, W.D., et al., 2005:\n",
" The Community Climate System Model, Version 3\n",
" Journal of Climate\n",
" \n",
" Main website: http://www.ccsm.ucar.edu" ;
:acknowledgment = " Any use of CCSM data should acknowledge the contribution\n",
" of the CCSM project and CCSM sponsor agencies with the \n",
" following citation:\n",
" \'This research uses data provided by the Community Climate\n",
" System Model project (www.ccsm.ucar.edu), supported by the\n",
" Directorate for Geosciences of the National Science Foundation\n",
" and the Office of Biological and Environmental Research of\n",
" the U.S. Department of Energy.\'\n",
"In addition, the words \'Community Climate System Model\' and\n",
" \'CCSM\' should be included as metadata for webpages referencing\n",
" work using CCSM data or as keywords provided to journal or book\n",
"publishers of your manuscripts.\n",
"Users of CCSM data accept the responsibility of emailing\n",
" citations of publications of research using CCSM data to\n",
" ccsm@ucar.edu.\n",
"Any redistribution of CCSM data must include this data\n",
" acknowledgement statement." ;
:realization = 2 ;
:experiment_id = "720 ppm stabilization experiment (SRES A1B)" ;
:history = "Created from CCSM3 case b30.040b\n",
" by strandwg@ucar.edu\n",
" on Sun Apr 24 22:35:53 MDT 2005\n",
" \n",
" For all data, added IPCC requested metadata" ;
:comment = "This simulation was initiated from year 2000 of \n",
" CCSM3 model run b30.030b and executed on \n",
" hardware bluesky.ucar.edu. The input external forcings are\n",
"ozone forcing : A1B.ozone.128x64_L18_1991-2100_c040528.nc\n",
"aerosol optics : AerosolOptics_c040105.nc\n",
"aerosol MMR : AerosolMass_V_128x256_clim_c031022.nc\n",
"carbon scaling : carbonscaling_A1B_1990-2100_c040609.nc\n",
"solar forcing : Fixed at 1366.5 W m-2\n",
"GHGs : ghg_ipcc_A1B_1870-2100_c040521.nc\n",
"GHG loss rates : noaamisc.r8.nc\n",
"volcanic forcing : none\n",
"DMS emissions : DMS_emissions_128x256_clim_c040122.nc\n",
"oxidants : oxid_128x256_L26_clim_c040112.nc\n",
"SOx emissions : SOx_emissions_A1B_128x256_L2_1990-2100_c040608.nc\n",
" Physical constants used for derived data:\n",
" Lv (latent heat of evaporation): 2.501e6 J kg-1\n",
" Lf (latent heat of fusion ): 3.337e5 J kg-1\n",
" r[h2o] (density of water ): 1000 kg m-3\n",
" g2kg (grams to kilograms ): 1000 g kg-1\n",
" \n",
" Integrations were performed by NCAR and CRIEPI with support\n",
" and facilities provided by NSF, DOE, MEXT and ESC/JAMSTEC." ;
:_Format = "classic" ;
}
*/
/* Subtract the `struct timeval' values X and Y, storing the result in
RESULT. Return 1 if the difference is negative, otherwise 0. This
function from the GNU documentation. */
static int
timeval_subtract (struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating Y. */
if (x->tv_usec < y->tv_usec) {
int nsec = (y->tv_usec - x->tv_usec) / MILLION + 1;
y->tv_usec -= MILLION * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > MILLION) {
int nsec = (x->tv_usec - y->tv_usec) / MILLION;
y->tv_usec += MILLION * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
`tv_usec' is certainly positive. */
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
#define USAGE "\
[-h] Print output header\n\
[-t] Do a time-series read\n\
[-v] Vertical profile read\n\
[-c CACHE_SIZE] Set the HDF5 chunk cache to this size before read\n\
file Name of netCDF file\n"
static void
usage(void)
{
fprintf(stderr, "tst_ar4 -h -t -v -c CACHE_SIZE file\n%s", USAGE);
}
#define NDIMS4 4
#define DATA_VAR_NAME "thetao"
#define NUM_CACHE_TRIES 1
#define LON_DIMID 0
#define LAT_DIMID 1
#define DEPTH_DIMID 2
#define BNDS_DIMID 3
#define TIME_DIMID 4
#define LON_LEN 320
#define LAT_LEN 395
#define BNDS_LEN 2
#define DEPTH_LEN 40
#define TIME_LEN 1200
#define NUM_TS 1
#define MAX_READ_COUNT 100
int
main(int argc, char **argv)
{
extern int optind;
extern int opterr;
extern char *optarg;
int c, header = 0, vertical_profile = 0, timeseries = 0;
int ncid, varid, storage;
char name_in[NC_MAX_NAME + 1];
size_t len;
size_t cs[NDIMS4] = {0, 0, 0, 0};
int cache = MEGABYTE;
int ndims, dimid[NDIMS4];
float hor_data[LAT_LEN * LON_LEN];
float vert_data[DEPTH_LEN];
int read_1_us, avg_read_us;
float ts_data[TIME_LEN];
size_t start[NDIMS4], count[NDIMS4];
int deflate, shuffle, deflate_level;
struct timeval start_time, end_time, diff_time;
int read_count = 0, num_reads;
while ((c = getopt(argc, argv, "vhtc:")) != EOF)
switch(c)
{
case 'v':
vertical_profile++;
break;
case 'h':
header++;
break;
case 't':
timeseries++;
break;
case 'c':
sscanf(optarg, "%d", &cache);
break;
case '?':
usage();
return 1;
}
argc -= optind;
argv += optind;
/* If no file arguments left, report and exit */
if (argc < 1)
{
printf("no file specified\n");
return 0;
}
/* Print the header if desired. */
if (header)
{
printf("cs[0]\tcs[1]\tcs[2]\tcache(MB)\tdeflate\tshuffle");
if (timeseries)
printf("\t1st_read_ser(us)\tavg_read_ser(us)\n");
else if (vertical_profile)
printf("\t1st_read_vert(us)\tavg_read_vert(us)\n");
else
printf("\t1st_read_hor(us)\tavg_read_hor(us)\n");
}
#define PREEMPTION .75
/* Also tried NELEMS of 2500009*/
#define NELEMS 7919
if (nc_set_chunk_cache(cache, NELEMS, PREEMPTION)) ERR;
if (nc_open(argv[0], 0, &ncid)) ERR;
/* Check to make sure that all the dimension information is
* correct. */
if (nc_inq_varid(ncid, DATA_VAR_NAME, &varid)) ERR;
if (nc_inq_dim(ncid, LON_DIMID, name_in, &len)) ERR;
if (strcmp(name_in, "lon") || len != LON_LEN) ERR;
if (nc_inq_dim(ncid, LAT_DIMID, name_in, &len)) ERR;
if (strcmp(name_in, "lat") || len != LAT_LEN) ERR;
if (nc_inq_dim(ncid, DEPTH_DIMID, name_in, &len)) ERR;
if (strcmp(name_in, "depth") || len != DEPTH_LEN) ERR;
if (nc_inq_dim(ncid, BNDS_DIMID, name_in, &len)) ERR;
if (strcmp(name_in, "bnds") || len != BNDS_LEN) ERR;
if (nc_inq_dim(ncid, TIME_DIMID, name_in, &len)) ERR;
if (strcmp(name_in, "time") || len != TIME_LEN) ERR;
if (nc_inq_var(ncid, varid, NULL, NULL, &ndims, dimid, NULL)) ERR;
if (ndims != NDIMS4 || dimid[0] != TIME_DIMID ||
dimid[1] != DEPTH_DIMID || dimid[2] != LAT_DIMID ||
dimid[3] != LON_DIMID) ERR;
/* Get info about the main data var. */
if (nc_inq_var_chunking(ncid, varid, &storage, cs)) ERR;
if (nc_inq_var_deflate(ncid, varid, &shuffle, &deflate,
&deflate_level)) ERR;
if (timeseries)
{
/* Read the var as a time series. */
start[0] = 0;
start[1] = 0;
start[2] = 0;
start[3] = 0;
count[0] = TIME_LEN;
count[1] = 1;
count[2] = 1;
count[3] = 1;
/* Read the first timeseries. */
if (gettimeofday(&start_time, NULL)) ERR;
if (nc_get_vara_float(ncid, varid, start, count, ts_data)) ERR_RET;
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
/* Read all the rest. */
if (gettimeofday(&start_time, NULL)) ERR;
for (start[1] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++)
for (start[2] = 1; read_count < MAX_READ_COUNT && start[2] < LON_LEN; start[2]++)
for (start[3] = 1; read_count < MAX_READ_COUNT && start[3] < DEPTH_LEN; start[3]++)
{
if (nc_get_vara_float(ncid, varid, start, count, ts_data)) ERR_RET;
read_count++;
}
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : (LAT_LEN * LON_LEN * DEPTH_LEN);
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec + read_1_us) /
num_reads;
}
else if (vertical_profile)
{
/* Read the var as a vertical profile. */
start[0] = 0;
start[1] = 0;
start[2] = 0;
start[3] = 0;
count[0] = 1;
count[1] = DEPTH_LEN;
count[2] = 1;
count[3] = 1;
/* Read the first vertical profile. */
if (gettimeofday(&start_time, NULL)) ERR;
if (nc_get_vara_float(ncid, varid, start, count, vert_data)) ERR_RET;
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
/* Read all the rest. */
if (gettimeofday(&start_time, NULL)) ERR;
/* for (start[0] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++) */
/* for (start[1] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++) */
/* for (start[2] = 1; read_count < MAX_READ_COUNT && start[2] < LON_LEN; start[2]++) */
/* for (start[] = 1; read_count < MAX_READ_COUNT && start[3] < DEPTH_LEN; start[3]++) */
/* { */
/* if (nc_get_vara_float(ncid, varid, start, count, vert_data)) ERR_RET; */
/* read_count++; */
/* } */
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : (LAT_LEN * LON_LEN * DEPTH_LEN);
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec + read_1_us) /
num_reads;
}
else
{
/* Read the data variable in horizontal slices. */
start[0] = 0;
start[1] = 0;
start[2] = 0;
start[3] = 0;
count[0] = 1;
count[1] = 1;
count[2] = LAT_LEN;
count[3] = LON_LEN;
/* Read (and time) the first one. */
if (gettimeofday(&start_time, NULL)) ERR;
if (nc_get_vara_float(ncid, varid, start, count, hor_data)) ERR_RET;
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
/* Read (and time) all the rest. */
if (gettimeofday(&start_time, NULL)) ERR;
for (start[0] = 0; read_count < MAX_READ_COUNT && start[0] < TIME_LEN; start[0]++)
for (start[1] = 1; read_count < MAX_READ_COUNT && start[1] < DEPTH_LEN; start[1]++)
{
if (nc_get_vara_float(ncid, varid, start, count, hor_data)) ERR_RET;
read_count++;
}
if (gettimeofday(&end_time, NULL)) ERR;
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : TIME_LEN;
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec +
read_1_us) / num_reads;
}
/* Close file. */
if (nc_close(ncid)) ERR;
/* Print results. */
printf("%d\t%d\t%d\t%.1f\t\t%d\t%d\t\t",
(int)cs[0], (int)cs[1], (int)cs[2],
(storage == NC_CHUNKED) ? (cache/(float)MEGABYTE) : 0,
deflate, shuffle);
if (timeseries)
printf("%d\t\t%d\n", (int)read_1_us, (int)avg_read_us);
else
printf("%d\t\t%d\n", (int)read_1_us, (int)avg_read_us);
FINAL_RESULTS;
}