cholmod_gpu_test

#include <assert.h>
#include <conio.h>
#include <iostream>
#include <stdio.h>
#include <time.h>

#include "cholmod.h"

// Test Matricies availble at: https://sparse.tamu.edu/
// nd6k: https://www.cise.ufl.edu/research/sparse/MM/ND/nd6k.tar.gz

#define USE_GPU 1

#if USE_GPU
#define CHOLMOD(x) cholmod_l_##x
#else
#define CHOLMOD(x) cholmod_##x
#endif

int main(void)
{
	std::cout << "Loading matrix.." << std::endl;

	const char* matFile = "Matrix/nd6k.mtx";
	FILE* fp;
	fopen_s(&fp, matFile, "r");
	assert(fp != NULL);

	cholmod_sparse *A;
	cholmod_dense *x, *b;
	cholmod_factor *L;

	cholmod_common* c = (cholmod_common*)malloc(sizeof(cholmod_common));
	CHOLMOD(start)(c); /* start CHOLMOD */
	c->useGPU = 1;
	c->supernodal = CHOLMOD_SUPERNODAL;

	A = CHOLMOD(read_sparse)(fp, c); /* read in a matrix */
	CHOLMOD(print_sparse)(A, "A", c); /* print the matrix */
	fclose(fp);

	if (A == NULL || A->stype == 0) /* A must be symmetric */
	{
		CHOLMOD(free_sparse)(&A, c);
		CHOLMOD(finish)(c);
		return (0);
	}

	b = CHOLMOD(ones)(A->nrow, 1, A->xtype, c); /* b = ones(n,1) */

	clock_t pipelineStart = clock();
	
	L = CHOLMOD(analyze)(A, c); /* analyze */
	CHOLMOD(factorize)(A, L, c); /* factorize */
	x = CHOLMOD(solve)(CHOLMOD_A, L, b, c); /* solve Ax=b */
	
	double pipelineTime = (double)(clock() - pipelineStart) / CLOCKS_PER_SEC;
	std::cout << "Cholesky Took: " << pipelineTime << "(s)." << std::endl;

	CHOLMOD(gpu_stats)(c);
	CHOLMOD(free_factor)(&L, c); /* free matrices */
	CHOLMOD(free_sparse)(&A, c);
	CHOLMOD(free_dense)(&x, c);
	CHOLMOD(free_dense)(&b, c);
	CHOLMOD(finish)(c); /* finish CHOLMOD */

	std::cout << std::endl << "Hit enter to exit." << std::endl;
	_getch();
	return (0);
}

Hello, Andrew Mac!
I cannot find a SuiteSparse Version support GPU in windows. The newest repo of SuiteSparse seems erase your commit in t_cholmod_gpu_c.
Could u help me for an availabel GPU-supporting SuiteSparse Version?
Best Wishes!