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[ADD] Added automation for psb_spmm test
This commit is contained in:
+2
-2
@@ -6,7 +6,7 @@ include $(INCDIR)/Make.inc.psblas
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# Libraries used
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#
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LIBDIR = $(INSTALLDIR)/lib/
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PSBLAS_LIB = -L$(LIBDIR) -lpsb_util -lpsb_prec -lpsb_base
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PSBLAS_LIB = -L$(LIBDIR) -lpsb_util -lpsb_base
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LDLIBS = $(PSBLDLIBS)
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FINCLUDES=$(FMFLAG)$(MODDIR) $(FMFLAG).
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@@ -30,7 +30,7 @@ runsd:
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psb_spmm_test:
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@$(FLINK) $(LOPT) psb_spmm_test.f90 -o psb_spmm_test -I../../modules/ -I. $(PSBLAS_LIB) $(LDLIBS)
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@$(FLINK) $(LOPT) psb_spmm_test.f90 spmm.f90 -o psb_spmm_test -I../../modules/ -I. $(PSBLAS_LIB) $(LDLIBS)
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@mv psb_spmm_test $(EXEDIR)
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@printf "$(BLUE)[INFO]\tTesting files generated correctly$(END_COLOUR)\n"
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+51
-11
@@ -1,5 +1,5 @@
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# Introduction
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This is a directory developed by Luca Pepè Sciarria and Simone Staccone froma Tor Vergata University to start to create some unit tests for PSBLAS 3.9, in particular for psb_spmm routine.
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This is a directory developed by Luca Pepè Sciarria and Simone Staccone froma Tor Vergata University to start to create some unit tests for PSBLAS 3.9, in particular for ```psb_spmm``` routine.
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## Environment
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These tests are developed using a linux environment, in particular Rocky Linux 9.5 (Blue Onyx).
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@@ -16,20 +16,27 @@ In order to have the exact same environment used for testing compile PSBALS libr
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## Getting started
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Steps to reproduce the tests:
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- make
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- insert the matrix files inside the matrix/ directory (or create one if it doesn't exists; psblas3/test/spmm/matrix/)
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- run ./runs/psb_spmm_test
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- ...
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- Compile the code using ``` make ```
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- Insert the matrix files inside the matrix/ directory (or create one if it doesn't exists; psblas3/test/spmm/matrix/)
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- Launch the script autotest.sh
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- Check the output log file test_log.txt to collect results
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## Test goal
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Check the correctness of the matrix-vector multiplication $y = Ax$ using the **psb_spmm** routine, checking for all the test suite cases.
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## Test Suite
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**A** matrixes are located in the matrix/ directory
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|Matrix|File Name|Type|
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|:-:|:-:|:-:|
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|$A_1$|1138_bus.mtx|Sparse|
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### Overall Analysys
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THe subroutine psb_spmm materialize in three different procedures:
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```psb_sspmm```, ```psb_sspmv```, ```psb_sspmv_vect```. The focus is on testing the ```psb_sspmv``` one, so as first step let's analyze the signature of the function to study a satisfyng input parameter space. The signature of the function is:
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```fortran
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psb_sspmv(alpha, a, x, beta, y,&
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& desc_a, info, trans, work,doswap)
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```
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In order to have a black-box approach and to consider only the functionalities of the routine, the parameters ***work*** and ***doswap*** are not considered during this tests, since they are used in situation that presents internally to the library code. Moreover, info it's an output parameter used to signal some kind of error, therefore it is not part of the input space.
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There are seven parameters left. In the following tables are highlighted the values assigned to each parameter. THe test are runned composing a Cartesian product of all the possible values assigned to each parameter.
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### Parameters Values
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**x** vectors are located in the vectors/ directory. They are generated randomly using the same seed and then saved on different files based on their characteristics. The size of the vector is choosen accordingly to the size of the matrix column space considered for the single test instance.
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|Vector|File Name|Coefficients|Coefficients Description|
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|:-:|:-:|:-:|:-:|
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@@ -38,8 +45,41 @@ Check the correctness of the matrix-vector multiplication $y = Ax$ using the **p
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|$x_3$|x3.txt|$x_i \ne 0, \forall i$|Random coefficients
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|$x_4$|x4.txt|$x_i = 0, \forall i$|Null coefficients
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**y** vectors are located in the vectors/ directory. They are generated randomly using the same seed and then saved on different files based on their characteristics. The size of the vector is choosen accordingly to the size of the matrix rows space considered for the single test instance.
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|Vector|File Name|Coefficients|Coefficients Description|
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|:-:|:-:|:-:|:-:|
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|$y_1$|y1.txt|$y_i> 0, \forall i$|Positive coefficients|
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|$y_2$|y2.txt|$y_i < 0, \forall i$|Negative coefficients
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|$y_3$|y3.txt|$y_i \ne 0, \forall i$|Random coefficients
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|$y_4$|y4.txt|$y_i = 0, \forall i$|Null coefficients
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**$\alpha$**
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|$\alpha$|Value|Coefficients Description|
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|:-:|:-:|:-:|
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|$\alpha_1$|1.0|Positive value|
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|$\alpha_2$|-1.0|Negative value|
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|$\alpha_3$|0.0|Null value|
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**$\beta$**
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|$\alpha$|Value|Coefficients Description|
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|:-:|:-:|:-:|
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|$\beta_1$|1.0|Positive value|
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|$\beta_2$|-1.0|Negative value|
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|$\beta_3$|0.0|Null value|
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**trans**
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## Output
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The results of the computation will be saved on different files based on the instance of the test considered. In particular the naming conventiona format the output file as sol_m#_x#_y#.mtx, where each # is a number choosen w.r.t. the test instance. (Ex. sol_m1_x1_y1.mtx is the solution computed using the first matrix file, the first x vector file and the first y vector file).
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The ouput files generated by the test are automatically compared by the autotest.sh script, but if it is needed to manually run the test here it is the naming convenction used.
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The results of the computation will be saved on different files based on the instance of the test considered. In particular the naming conventiona format the output file as sol_m#_x#_y#_a#_b#.mtx, where each # is a number choosen w.r.t. the test instance. (Ex. sol_m1_x1_y1_a1_b1.mtx is the solution computed using the first matrix file, the first x vector file , the first y vector file, alpha = 1.0 and beta = 1.0). Moreover, the files will be saved in the serial/ directory if the program is launched using 1 process or in parrallel/ directory if the program is launched with more than one process.
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## Notes
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For now only integer multiplication is tested and on a single matrix
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For now only integer multiplication is tested and on a single matrix
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## TODO
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- Update docs
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- Parametrize also on trans parameter
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- Create the script autotest.sh
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- Write the I/O output on log file
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- ...
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+228
-183
@@ -2,248 +2,293 @@
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!! Check the README.md to see all details about the tests.
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!!
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!! Author: Luca Pepé Sciarria, Staccone Simone (Tor Vergata University)
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program psb_spmm_test
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use psb_base_mod
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use psb_util_mod
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implicit none
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! input parameters
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character(len=256) :: mtx_file, file_name, name
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! Testing parameters
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character(len=256),dimension(2) :: mtx_files
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! sparse matrices
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type(psb_sspmat_type) :: a
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type(psb_lsspmat_type) :: aux_a
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! vectors
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type(psb_s_vect_type) :: x, y
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! matrix descriptor data structure
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type(psb_desc_type) :: desc_a
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! communication context
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type(psb_ctxt_type) :: ctxt
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integer(psb_ipk_) :: my_rank, np, info, err_act
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! matrix parameters
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integer(psb_ipk_) :: m, n, nnz
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integer(psb_ipk_) :: nr, nt ! In BLOCK ROWS distributin, the number of rows
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real(psb_spk_), allocatable :: x_global(:), y_global(:)
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integer(psb_ipk_) :: i
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name = "psb_spmm_test" ! Name of the program to output in case of error
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info = psb_success_
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mtx_file = "matrix/1138_bus.mtx"
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mtx_files(1) = "matrix/1138_bus.mtx"
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call psb_init(ctxt)
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call psb_info(ctxt,my_rank,np)
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if (my_rank < 0) then
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! This should not happen, but just in case
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call psb_error(ctxt)
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endif
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if (my_rank == psb_root_) then
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write(psb_out_unit,*) 'Welcome to PSBLAS version: ',psb_version_string_
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write(psb_out_unit,*) 'This is the ',trim(name),' sample program'
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end if
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call mm_mat_read(aux_a,info,filename=mtx_file)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error while reading matric ", mtx_file
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goto 9999
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end if
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module psb_spmm_test
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! part_block it's a macro defined in psb_blockpart_mod to identify BLOCK ROWS distribution
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call psb_matdist(aux_a, a, ctxt,desc_a,info,fmt="COO",parts=part_block)
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contains
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m = aux_a%get_nrows()
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n = aux_a%get_ncols()
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nnz = aux_a%get_nzeros()
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subroutine psb_spmm_kernel(mtx_file,x_file, y_file, alpha, beta, ctxt)
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use psb_base_mod
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use psb_util_mod
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call psb_bcast(ctxt,m)
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call psb_bcast(ctxt,n)
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call psb_bcast(ctxt,nnz)
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implicit none
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if(my_rank == psb_root_) then
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write(psb_out_unit,*) "Matrix stats"
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write(psb_out_unit,*) "ROWS:", m
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write(psb_out_unit,*) "COLS:", n
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write(psb_out_unit,*) "NNZ: ", nnz
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end if
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! input parameters
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character(len = *), intent(in) :: mtx_file, x_file, y_file
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real(psb_spk_), intent(in) :: alpha, beta
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! Generate random array for b using always the same seed
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if(my_rank == psb_root_) then
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allocate(x_global(n))
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allocate(y_global(n))
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call generate_vectors(n) ! True for x
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call mm_array_read(x_global,info,filename="vectors/x1.mtx")
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call mm_array_read(y_global,info,filename="vectors/y1.mtx")
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end if
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character(len=:), allocatable :: output_file_name
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call psb_geall(x,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error allocating x data structure"
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goto 9999
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end if
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! sparse matrices
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type(psb_sspmat_type) :: a
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type(psb_lsspmat_type) :: aux_a
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! Populate x class using data from x_global vector
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call psb_scatter(x_global,x,desc_a,info,root=psb_root_)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_scatter to populate x data structure"
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goto 9999
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end if
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! vectors
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type(psb_s_vect_type) :: x, y
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call psb_geall(y,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error allocating y data structure"
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goto 9999
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end if
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! matrix descriptor data structure
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type(psb_desc_type) :: desc_a
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! Populate y class using data from y_global vector
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call psb_scatter(y_global,y,desc_a,info,root=psb_root_)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_scatter to populate y data structure"
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goto 9999
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end if
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! communication context
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type(psb_ctxt_type), intent(in) :: ctxt
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integer(psb_ipk_) :: my_rank, np, info, err_act
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! matrix parameters
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integer(psb_ipk_) :: rows, cols, nnz
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integer(psb_ipk_) :: nr, nt ! In BLOCK ROWS distributin, the number of rows
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! y = alpha * A * x + betha * y
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call psb_spmm(sone,a,x,sone,y,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_spmm routine"
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goto 9999
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end if
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real(psb_spk_), allocatable :: x_global(:), y_global(:)
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integer(psb_ipk_) :: i
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! Save result to output file
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call mm_array_write(y,"Result vector",info,filename="sol_m1_x1_y1.mtx")
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! Deallocate
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call psb_gefree(x, desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in vector x free routine"
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goto 9999
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end if
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call psb_gefree(y, desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in vector y free routine"
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goto 9999
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end if
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call psb_spfree(a, desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in matrix A free routine"
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goto 9999
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end if
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call psb_cdfree(desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in matrix descriptor free routine"
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goto 9999
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end if
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deallocate(x_global)
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deallocate(y_global)
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call psb_exit(ctxt)
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stop
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info = psb_success_
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! Error handling
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9999 call psb_error(ctxt)
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call psb_errpush(info,name)
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call psb_error_handler(ctxt,err_act)
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call psb_exit(ctxt)
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stop
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call psb_info(ctxt,my_rank,np)
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if (my_rank < 0) then
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! This should not happen, but just in case
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call psb_error(ctxt)
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endif
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call mm_mat_read(aux_a,info,filename=mtx_file)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error while reading matric ", mtx_file
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goto 9999
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end if
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contains
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! part_block it's a macro defined in psb_blockpart_mod to identify BLOCK ROWS distribution
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call psb_matdist(aux_a, a, ctxt,desc_a,info,fmt="COO",parts=part_block)
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rows = aux_a%get_nrows()
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cols = aux_a%get_ncols()
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nnz = aux_a%get_nzeros()
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call psb_bcast(ctxt,rows)
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call psb_bcast(ctxt,cols)
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call psb_bcast(ctxt,nnz)
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! Generate random array for b using always the same seed
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if(my_rank == psb_root_) then
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allocate(x_global(cols))
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allocate(y_global(rows))
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call mm_array_read(x_global,info,filename=x_file)
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call mm_array_read(y_global,info,filename=y_file)
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end if
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call psb_geall(x,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error allocating x data structure"
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goto 9999
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end if
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|
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! Populate x class using data from x_global vector
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call psb_scatter(x_global,x,desc_a,info,root=psb_root_)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_scatter to populate x data structure"
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goto 9999
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end if
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|
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|
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call psb_geall(y,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error allocating y data structure"
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goto 9999
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||||
end if
|
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|
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! Populate y class using data from y_global vector
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call psb_scatter(y_global,y,desc_a,info,root=psb_root_)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_scatter to populate y data structure"
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goto 9999
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||||
end if
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|
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|
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! y = alpha * A * x + beta * y
|
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call psb_spmm(alpha,a,x,beta,y,desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in psb_spmm routine"
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goto 9999
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end if
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! Make the root process be the one that saves everything on file
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if(np == 1) then
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output_file_name = "serial/"
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else
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output_file_name = "parallel/"
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end if
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output_file_name = output_file_name // "sol_" // x_file(9:10) // "_" // y_file(9:10)
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|
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if(alpha == sone) then
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output_file_name = output_file_name // "_a1"
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else if(alpha == -sone) then
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output_file_name = output_file_name // "_a2"
|
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else if(alpha == szero) then
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output_file_name = output_file_name // "_a3"
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end if
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if(beta == sone) then
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output_file_name = output_file_name // "_b1.mtx"
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else if(beta == -sone) then
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output_file_name = output_file_name // "_b2.mtx"
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else if(beta == szero) then
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output_file_name = output_file_name // "_b3.mtx"
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end if
|
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|
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|
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! Save result to output file
|
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call mm_array_write(y,"Result vector",info,filename=output_file_name)
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! Deallocate
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call psb_gefree(x, desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in vector x free routine"
|
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goto 9999
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||||
end if
|
||||
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call psb_gefree(y, desc_a,info)
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if(info /= psb_success_) then
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write(psb_out_unit,*) "Error in vector y free routine"
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||||
goto 9999
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||||
end if
|
||||
|
||||
call psb_spfree(a, desc_a,info)
|
||||
if(info /= psb_success_) then
|
||||
write(psb_out_unit,*) "Error in matrix A free routine"
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
call psb_cdfree(desc_a,info)
|
||||
if(info /= psb_success_) then
|
||||
write(psb_out_unit,*) "Error in matrix descriptor free routine"
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
if(my_rank == 0) then
|
||||
deallocate(x_global)
|
||||
deallocate(y_global)
|
||||
end if
|
||||
|
||||
return
|
||||
|
||||
|
||||
! Error handling
|
||||
9999 call psb_error(ctxt)
|
||||
|
||||
call psb_error_handler(ctxt,err_act)
|
||||
stop
|
||||
end subroutine
|
||||
|
||||
!> @brief Function to randomly generate x and y vectors
|
||||
!! and save them on multiple files based on their
|
||||
!! coefficients values.
|
||||
!!
|
||||
!! @param n The size of the vector.
|
||||
subroutine generate_vectors(n)
|
||||
subroutine generate_vectors(rows, cols)
|
||||
use psb_base_mod
|
||||
use psb_util_mod
|
||||
|
||||
implicit none
|
||||
|
||||
integer(psb_ipk_), intent(in) :: n
|
||||
integer(psb_ipk_), allocatable :: x(:), y(:)
|
||||
real(psb_spk_), allocatable :: v(:)
|
||||
integer(psb_ipk_) :: i
|
||||
|
||||
allocate(x(n))
|
||||
allocate(y(n))
|
||||
allocate(v(2*n))
|
||||
integer(psb_ipk_), intent(in) :: rows, cols
|
||||
real(psb_spk_), allocatable :: x(:), y(:)
|
||||
integer(psb_ipk_) :: i, info
|
||||
|
||||
allocate(x(rows))
|
||||
allocate(y(cols))
|
||||
|
||||
call random_init(repeatable=.true.,image_distinct=.true.)
|
||||
call random_number(v)
|
||||
|
||||
do i = 1,n
|
||||
x(i) = int(v(i) * 100)
|
||||
end do
|
||||
|
||||
do i = 1,n
|
||||
y(i) = int(v(i+n) * 100)
|
||||
end do
|
||||
|
||||
call random_number(x)
|
||||
call random_number(y)
|
||||
|
||||
! Write only positive in x_1
|
||||
call mm_array_write(x,"Positive vector",info,filename="vectors/x1.mtx")
|
||||
call mm_array_write(y,"Positive vector",info,filename="vectors/y1.mtx")
|
||||
|
||||
! Write only negative in x_2
|
||||
do i=1,n
|
||||
do i=1,rows
|
||||
x(i) = -x(i)
|
||||
y(i) = -y(i)
|
||||
end do
|
||||
|
||||
do i=1,cols
|
||||
y(i) = -y(i)
|
||||
end do
|
||||
|
||||
call mm_array_write(x,"Negative vector",info,filename="vectors/x2.mtx")
|
||||
call mm_array_write(y,"Negative vector",info,filename="vectors/y2.mtx")
|
||||
|
||||
|
||||
! Since numbers are less than one and always positive, we have to generate negative ones subtractiong 50
|
||||
do i=1,n
|
||||
do i=1,rows
|
||||
x(i) = -x(i) ! Make the values positive again
|
||||
x(i) = x(i) - 50
|
||||
y(i) = -y(i) ! Make the values positive again
|
||||
y(i) = y(i) - 50
|
||||
x(i) = x(i) - 0.5
|
||||
end do
|
||||
|
||||
do i=1,cols
|
||||
y(i) = -y(i) ! Make the values positive again
|
||||
y(i) = y(i) - 0.5
|
||||
end do
|
||||
|
||||
! Write random in x_3
|
||||
call mm_array_write(x,"Random vector",info,filename="vectors/x3.mtx")
|
||||
call mm_array_write(y,"Random vector",info,filename="vectors/y3.mtx")
|
||||
|
||||
! Write zero in x_4
|
||||
do i=1,n
|
||||
do i=1,rows
|
||||
x(i) = 0
|
||||
y(i) = 0
|
||||
end do
|
||||
|
||||
do i=1,cols
|
||||
y(i) = 0
|
||||
end do
|
||||
|
||||
call mm_array_write(x,"Null vector",info,filename="vectors/x4.mtx")
|
||||
call mm_array_write(y,"Null vector",info,filename="vectors/y4.mtx")
|
||||
|
||||
deallocate(x)
|
||||
deallocate(y)
|
||||
deallocate(v)
|
||||
|
||||
end subroutine
|
||||
|
||||
end program
|
||||
|
||||
subroutine read_matrix_market_size(filename, rows, cols)
|
||||
implicit none
|
||||
character(len=*), intent(in) :: filename
|
||||
integer, intent(out) :: rows, cols
|
||||
integer :: ret, nnz
|
||||
character(len=256) :: line
|
||||
logical :: found
|
||||
integer :: unit
|
||||
|
||||
! Open the file
|
||||
open(newunit=unit, file=filename, status='old', action='read', iostat=ret)
|
||||
if (ret /= 0) then
|
||||
print *, 'Error opening file: ', filename
|
||||
stop
|
||||
end if
|
||||
|
||||
found = .false.
|
||||
|
||||
! Skip comment lines (starting with %)
|
||||
do
|
||||
read(unit, '(A)', iostat=ret) line
|
||||
if (ret /= 0) exit
|
||||
if (line(1:1) /= '%') then
|
||||
read(line, *) rows, cols, nnz
|
||||
found = .true.
|
||||
exit
|
||||
end if
|
||||
end do
|
||||
|
||||
if (.not. found) then
|
||||
print *, 'Error: header not found in Matrix Market file.'
|
||||
stop
|
||||
end if
|
||||
|
||||
close(unit)
|
||||
end subroutine read_matrix_market_size
|
||||
|
||||
end module psb_spmm_test
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,74 @@
|
||||
program main
|
||||
use psb_spmm_test
|
||||
use psb_base_mod
|
||||
|
||||
implicit none
|
||||
|
||||
! matrix stats variables
|
||||
integer(psb_ipk_) :: rows, cols
|
||||
|
||||
! MPI variables
|
||||
integer(psb_ipk_) :: my_rank, np
|
||||
|
||||
! parameters array
|
||||
character(len=64) :: x(4),y(4)
|
||||
real(psb_ipk_) :: alpha(3), beta(3)
|
||||
|
||||
! cycle indexes variables
|
||||
integer(psb_ipk_) :: i,j,k,h,l
|
||||
|
||||
! Communicator variable
|
||||
type(psb_ctxt_type) :: ctxt
|
||||
|
||||
! Initialize parameters
|
||||
x(1) = "vectors/x1.mtx"
|
||||
x(2) = "vectors/x2.mtx"
|
||||
x(3) = "vectors/x3.mtx"
|
||||
x(4) = "vectors/x4.mtx"
|
||||
|
||||
y(1) = "vectors/y1.mtx"
|
||||
y(2) = "vectors/y2.mtx"
|
||||
y(3) = "vectors/y3.mtx"
|
||||
y(4) = "vectors/y4.mtx"
|
||||
|
||||
alpha(1) = sone
|
||||
alpha(2) = -sone
|
||||
alpha(3) = szero
|
||||
|
||||
beta(1) = sone
|
||||
beta(2) = -sone
|
||||
beta(3) = szero
|
||||
|
||||
call psb_init(ctxt)
|
||||
call psb_info(ctxt,my_rank,np)
|
||||
|
||||
if(my_rank == psb_root_) then
|
||||
write(psb_out_unit,*) 'Welcome to PSBLAS version: ',psb_version_string_
|
||||
write(psb_out_unit,*) 'This is the psb_spmm_test sample program'
|
||||
|
||||
call read_matrix_market_size("matrix/1138_bus.mtx", rows, cols)
|
||||
|
||||
call generate_vectors(rows,cols)
|
||||
end if
|
||||
|
||||
call psb_barrier(ctxt)
|
||||
|
||||
|
||||
|
||||
!! 1138_bus matrix (sparse)
|
||||
do i=1,4
|
||||
do j=1,4
|
||||
do k=1,3
|
||||
do h=1,3
|
||||
call psb_spmm_kernel(mtx_file="matrix/1138_bus.mtx",x_file=x(i), y_file=y(j), &
|
||||
& alpha = alpha(k), beta = beta(h), ctxt = ctxt)
|
||||
end do
|
||||
end do
|
||||
end do
|
||||
end do
|
||||
|
||||
|
||||
call psb_exit(ctxt)
|
||||
|
||||
return
|
||||
end program main
|
||||
Executable
BIN
Binary file not shown.
@@ -5,63 +5,6 @@
|
||||
*/
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
|
||||
void compare_files(const char *file1, const char *file2) {
|
||||
FILE *file_s = fopen(file1, "r");
|
||||
FILE *file_p = fopen(file2, "r");
|
||||
|
||||
if (!file_s || !file_p) {
|
||||
perror("Error opening files");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
int n_s, n_p;
|
||||
fscanf(file_s, "%d", &n_s);
|
||||
fscanf(file_p, "%d", &n_p); // Assuming both files have the same number of lines
|
||||
|
||||
if (n_s != n_p) {
|
||||
fprintf(stderr, "Error, differnet file sizes $d, $d", n_s, n_p);
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
double value_s, value_p;
|
||||
|
||||
|
||||
for (int i = 0; i < n_s; i++) {
|
||||
fscanf(file_s, "%lf", &value_s);
|
||||
fscanf(file_p, "%lf", &value_p);
|
||||
|
||||
if (value_s != value_p) {
|
||||
printf("Index %d: %.2lf != %.2lf\n", i, value_s, value_p);
|
||||
}
|
||||
}
|
||||
|
||||
fclose(file_s);
|
||||
fclose(file_p);
|
||||
}
|
||||
|
||||
int main(int argc, char *argv[]) {
|
||||
if (argc != 2) {
|
||||
fprintf(stderr, "Usage: %s <partial_filename>\n", argv[0]);
|
||||
return EXIT_FAILURE;
|
||||
}
|
||||
|
||||
char file_s[256], file_p[256];
|
||||
snprintf(file_s, sizeof(file_s), "%s_serial.txt", argv[1]);
|
||||
snprintf(file_p, sizeof(file_p), "%s_parallel.txt", argv[1]);
|
||||
|
||||
compare_files(file_s, file_p);
|
||||
|
||||
return EXIT_SUCCESS;
|
||||
}
|
||||
|
||||
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
+1138
-1138
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user