Since we have no different version for serial and parallel system, all tests are compiled for "parallel" systems (which may have only one processor). Only one time-step! * H5BlockWriteScalarField1Proc - 1 processor - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i - Set field attribute "TestString" to "42" - Set field attribute "TestInt64" to 42 - Set field attribute "TestFloat64" to 42.0 - filename: blockfile1.h5 * H5BlockReadScalarField1Proc - 1 processor - read file "blockfile1.h5" - check values of field data - check values of attributes * H5BlockWriteScalarField8Procs - 8 processors - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i + 10000000*proc - layout: proc 0: ( 0:63, 0:63, 0: 63) proc 1: ( 0:63, 0:63, 64:127) proc 2: ( 0:63, 0:63, 128:191) proc 3: ( 0:63, 0:63, 192,255) proc 4: ( 0:63, 0:63, 256:319) proc 5: ( 0:63, 0:63, 320:383) proc 6: ( 0:63, 0:63, 384:447) proc 7: ( 0:63, 0:63, 448:511) - filename = blockfile2.h5 * H5BlockReadScalarField8Procs - 8 processors - read file "blockfile2.h5" - check values of field data - layout as above * H5BlockWriteScalarField8ProcsWithGosts - 8 processors - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i + 10000000*proc - layout: proc 0: ( 0:63, 0:63, 0: 64) proc 1: ( 0:63, 0:63, 63:128) proc 2: ( 0:63, 0:63, 127:192) proc 3: ( 0:63, 0:63, 191,256) proc 4: ( 0:63, 0:63, 255:320) proc 5: ( 0:63, 0:63, 319:384) proc 6: ( 0:63, 0:63, 383:448) proc 7: ( 0:63, 0:63, 447:511) - filename: blockfile3.h5 * H5BlockReadScalarField8ProcsWithGostZones - 8 processors - read file "blockfile3.h5" - check values of field data - layout as above * H5BlockWriteScalarField16ProcsWithGostZones - 16 processors - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i + 10000000*proc - layout: proc 0: ( 0:63, 0:32, 0: 64) proc 1: ( 0:63, 31:63, 0: 64) proc 2: ( 0:63, 0:32, 63:128) proc 3: ( 0:63, 31:63, 63:128) proc 4: ( 0:63, 0:32, 127:192) proc 5: ( 0:63, 31:63, 127:192) proc 6: ( 0:63, 0:32, 191,256) proc 7: ( 0:63, 31:63, 191,256) proc 8: ( 0:63, 0:32, 255:320) proc 9: ( 0:63, 31:63, 255:320) proc 10: ( 0:63, 0:32, 319:384) proc 11: ( 0:63, 31:63, 319:384) proc 12: ( 0:63, 0:32, 383:448) proc 13: ( 0:63, 31:63, 383:448) proc 14: ( 0:63, 0:32, 447:511) proc 15: ( 0:63, 31:63, 447:511) - filename: blockfile4.h5 * H5BlockReadScalarField16ProcsWithGosts - 16 processors - read file "blockfile4.h5" - check values of field data - layout as above * H5BlockWriteScalarField32Procs - 32 processors - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i + 10000000*proc - layout: proc 0: ( 0:31, 0:31, 0: 63) proc 1: ( 0:31, 32:63, 0: 63) proc 2: ( 32:63, 0:31, 0: 63) proc 3: ( 32:63, 32:63, 0: 63) proc 4: ( 0:31, 0:31, 64:127) proc 5: ( 0:31, 32:63, 64:127) proc 6: ( 32:63, 0:31, 64:127) proc 7: ( 32:63, 32:63, 64:127) proc 8: ( 0:31, 0:31, 128:191) proc 9: ( 0:31, 32:63, 128:191) proc 10: ( 32:63, 0:31, 128:191) proc 11: ( 32:63, 32:63, 128:191) proc 12: ( 0:31, 0:31, 192:255) proc 13: ( 0:31, 32:63, 192:255) proc 14: ( 32:63, 0:31, 192:255) proc 15: ( 32:63, 32:63, 192:255) proc 16: ( 0:31, 0:31, 256:319) proc 17: ( 0:31, 32:63, 256:319) proc 18: ( 32:63, 0:31, 256:319) proc 19: ( 32:63, 32:63, 256:319) proc 20: ( 0:31, 0:31, 320:383) proc 21: ( 0:31, 32:63, 320:383) proc 22: ( 32:63, 0:31, 320:383) proc 23: ( 32:63, 32:63, 320:383) proc 24: ( 0:31, 0:31, 384:447) proc 25: ( 0:31, 32:63, 384:447) proc 26: ( 32:63, 0:31, 384:447) proc 27: ( 32:63, 32:63, 384:447) proc 28: ( 0:31, 0:31, 448:511) proc 29: ( 0:31, 32:63, 448:511) proc 30: ( 32:63, 0:31, 448:511) proc 31: ( 32:63, 32:63, 448:511) - filename: blockfile5.h5 * H5BlockReadScalarField32Procs - 32 processors - read file "blockfile4.h5" - check values of field data - layout as above * H5BlockWriteScalarField32ProcsWithGosts - 32 processors - Write field data "TestField" with dimension sizes (64, 64, 512) and scalar values: data[i,j,k] = k + 1000*j + 100000*i + 10000000*proc - layout: proc 0: ( 0:32, 0:32, 0: 64) proc 1: ( 0:32, 31:63, 0: 64) proc 2: ( 31:63, 0:32, 0: 64) proc 3: ( 31:63, 31:63, 0: 64) proc 4: ( 0:32, 0:32, 63:128) proc 5: ( 0:32, 31:63, 63:128) proc 6: ( 31:63, 0:32, 63:128) proc 7: ( 31:63, 31:63, 63:128) proc 8: ( 0:32, 0:32, 127:192) proc 9: ( 0:32, 31:63, 127:192) proc 10: ( 31:63, 0:32, 127:192) proc 11: ( 31:63, 31:63, 127:192) proc 12: ( 0:32, 0:32, 191:256) proc 13: ( 0:32, 31:63, 191:256) proc 14: ( 31:63, 0:32, 191:256) proc 15: ( 31:63, 31:63, 191:256) proc 16: ( 0:32, 0:32, 255:320) proc 17: ( 0:32, 31:63, 255:320) proc 18: ( 31:63, 0:32, 255:320) proc 19: ( 31:63, 31:63, 255:320) proc 20: ( 0:32, 0:32, 319:384) proc 21: ( 0:32, 31:63, 319:384) proc 22: ( 31:63, 0:32, 319:384) proc 23: ( 31:63, 31:63, 319:384) proc 24: ( 0:31, 0:31, 383:448) proc 25: ( 0:31, 31:63, 383:448) proc 26: ( 31:63, 0:31, 383:448) proc 27: ( 31:63, 31:63, 383:448) proc 28: ( 0:32, 0:32, 447:511) proc 29: ( 0:32, 31:63, 447:511) proc 30: ( 31:63, 0:32, 447:511) proc 31: ( 31:63, 31:63, 447:511) filename: blockfile6.h5 * H5BlockReadScalarField32ProcsWithGhosts - 32 processors - read file "blockfile6.h5" - check values of field data - layout as above