cuSparse: not initialized

Open discussion for MAGMA library (Matrix Algebra on GPU and Multicore Architectures)
Post Reply
Ólafur
Posts: 9
Joined: Tue Jul 25, 2017 9:34 am

cuSparse: not initialized

Post by Ólafur » Fri Jan 26, 2018 8:58 am

I've been trying to use Magma for spectral analysis of a sparse matrix but I'm having trouble

Code

Code: Select all

//Compiles with the corresponding makefile.
//Takes in the 3 vectors of CSR format, creates MAGMA format sparse matrix, returns its spectrum.

#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>

#include "magma_v2.h"
#include "magmasparse.h"

int main()
{
	//Setup
	int n = 3;  //Dimension of the nxn matrix
	magmaDoubleComplex *sol;

	//Testing with matrix {{4,1-i,2+i},{1+i,-1,1},{2-i,1,3}} that has spectrum {6.08807,-1.61431,1.52624}

	int *col; //Column indices of NNZ in A
	col = (int*) calloc(n*n,   sizeof(int));
	col[0] = 0; col[1]=1; col[2] = 2;
	col[3] = 0; col[4]=1; col[5] = 2;
	col[6] = 0; col[7]=1; col[8] = 2;

	int *row; //Row pointer of NNZ in A
	row = (int*) calloc(n+1, sizeof(int));
	row[0] = 0;	row[1] = 3;	row[2] = 6;	row[3] = 9;

	//NNZ of the matrix A:
	magmaDoubleComplex *val;
	val = malloc(n*n*sizeof(magmaDoubleComplex)); //Allocates the struct on the stack
	if (val == NULL) 
	{
        fprintf( stderr, "malloc failed\n" );
        return 0;
    } 
    else 
    {
    	fprintf( stderr, "malloc succeeded\n" );
    }

	val[0] = MAGMA_Z_MAKE(12,0);	val[1] = MAGMA_Z_MAKE(1,-1);	val[2] = MAGMA_Z_MAKE(2,1);
	val[3] = MAGMA_Z_MAKE(1,1);		val[4] = MAGMA_Z_MAKE(-1,0);	val[5] = MAGMA_Z_MAKE(1,0);
	val[6] = MAGMA_Z_MAKE(2,-1);	val[7] = MAGMA_Z_MAKE(1,0);		val[8] = MAGMA_Z_MAKE(3,0);

    printf("val created successfully\n");

	//Initialize MAGMA
	magma_init();
	magma_zopts opts;
	magma_queue_t queue;
	magma_queue_create(0, &queue);

	magma_z_matrix A={Magma_CSR}, dA={Magma_CSR};
	magma_z_matrix b={Magma_CSR}, db={Magma_CSR};
	magma_z_matrix x={Magma_CSR}, dx={Magma_CSR};

	//Pass the system to MAGMA
	magma_zcsrset(n,n,row,col,val,&A,queue);

	printf("system successfully passed to MAGMA\n");

	// Choose a solver, preconditioner, etc. - see documentation for options.
	opts.solver_par.solver = Magma_LOBPCG; // choose an LOBPCG solver
	opts.solver_par.num_eigenvalues = 3; // number of eigenvalues you want to compute
	opts.solver_par.maxiter = 1000; // max number of iterations
	opts.solver_par.rtol = 1e-10; // stopping criterion - relative accuracy of first eigenvalue
	opts.precond_par.solver = Magma_ILU; // preconditioner
	opts.precond_par.levels = 0; // ILU(0) - no fill-in
	opts.precond_par.trisolver = Magma_CUSOLVE; //exact triangular solves

	//Copy the system to device
	magma_zmtransfer(A, &dA, Magma_CPU, Magma_DEV, queue);

	printf("system successfully copied to device\n");

	//Generate the preconditioner
	magma_z_precondsetup(dA, db, &opts.solver_par, &opts.precond_par, queue);

	//Calling zlobpcg to find eigenvalues
	magma_int_t err;
	// magma_z_solver(dA, db, &dx, &opts, queue);
	err = magma_zlobpcg(dA, &opts.solver_par, &opts.precond_par, queue);
	printf("%s\n", magma_strerror(err));

	printf("zlobpcg successfully run\n");

	//Then copy the solution back to the host
	printf("%f \n", (void*) opts.solver_par.eigenvalues);
	magma_zmfree( &x, queue );
	magma_zmtransfer( dx, &x, Magma_CPU, Magma_DEV, queue );

	printf("system successfully copied back to host\n");

	//and back to the application code
	magma_zvget( x, &n, &n, &sol, queue );

	//Free the allocated memory...
	magma_zmfree( &dx, queue );
	magma_zmfree( &db, queue );
	magma_zmfree( &dA, queue );

	//and finalize MAGMA.
	magma_queue_destroy( queue );
	magma_finalize();

	//Output
	int i;
	for (i = 0; i < n; ++i) {
		printf("%.4f\n", sol[i]);
	}
	printf("\n\n\n\n");

	return 0;
}
Makefile:

Code: Select all

default:
	gcc -g -Wall -DADD_ -I/usr/local/magma/include -I/usr/local/magma/sparse/include -I/usr/local/cuda/include -c -o Magma.o Magma.c
	gcc -g -Wall  -o Magma Magma.o -L/usr/local/magma/lib -lmagma_sparse -lmagma -L/usr/local/cuda/lib64 -lcublas -lcudart -lcusparse -L/usr/local/openblas/lib -lopenblas
When I run the above code I get an errorcode of 'cusparse: not initialized' in line 84 ("err = magma_zlobpcg(dA, &opts.solver_par, &opts.precond_par, queue);"). I've tried running the provided cuSparse examples with no problems, and trying to initialize cuSparse myself yields a segfault.
Any idea what the problem could be?

Ólafur

Post Reply