public abstract void CreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info);
public abstract void DestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info);
private static extern CUSPARSEStatus cusparseCreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info);
private static extern CUSPARSEStatus cusparseDcsrsv_analysis_v2(cusparseHandle handle, cusparseOperation transA, int m, int nnz, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info);
public CUSPARSEStatus CusparseCreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info)
{
return(cusparseCreateSolveAnalysisInfo(ref info));
}
public CUSPARSEStatus CusparseDcsrsv_analysis(cusparseHandle handle, cusparseOperation transA, int m, int nnz, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info)
{
return(cusparseDcsrsv_analysis_v2(handle, transA, m, nnz, descrA, csrValA, csrRowPtrA, csrColIndA, info));;
}
private static extern CUSPARSEStatus cusparseCreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info);
private static extern CUSPARSEStatus cusparseDcsrsv_analysis_v2(cusparseHandle handle, cusparseOperation transA, int m, int nnz, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info);
public CUSPARSEStatus CusparseDcsrsv_analysis(cusparseHandle handle, cusparseOperation transA, int m, int nnz, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info)
{
return cusparseDcsrsv_analysis_v2(handle, transA, m, nnz, descrA, csrValA, csrRowPtrA, csrColIndA, info); ;
}
public CUSPARSEStatus CusparseDcsrsv_solve(cusparseHandle handle, cusparseOperation transA, int m, ref double alpha, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info, IntPtr x, IntPtr y)
{
return cusparseDcsrsv_solve_v2(handle, transA, m, ref alpha, descrA, csrValA, csrRowPtrA, csrColIndA, info, x, y);
}
public CUSPARSEStatus CusparseDestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info)
{
return cusparseDestroySolveAnalysisInfo(info);
}
public CUSPARSEStatus CusparseCreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info)
{
return cusparseCreateSolveAnalysisInfo(ref info);
}
private static extern CUSPARSEStatus cusparseDcsrsv_solve_v2(cusparseHandle handle, cusparseOperation transA, int m, ref double alpha, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info, IntPtr x, IntPtr y);
/// <summary> /// Performs the analysis phase of the solution of a sparse triangular linear system. /// op(A) * y = alpha * x /// </summary> /// <param name="m">specifies the number of rows and columns of matrix A; m must be at least zero.</param> /// <param name="nnz">number of non-zero elements of matrix A.</param> /// <param name="csrValA">array of nnz elements, where nnz is the number of non-zero elements and can be obtained from csrRow[m] - csrRow[0].</param> /// <param name="csrRowA">array of m+1 index elements.</param> /// <param name="csrColA">array of nnz column indices.</param> /// <param name="op">specifies op(A).</param> /// <param name="info">structure that stores the information collected during the analysis phase. It should be passed to the solve phase unchanged.</param> /// <param name="descrA">descriptor of matrix A.</param> public abstract void CSRSV_ANALYSIS(int m, int nnz, double[] csrValA, int[] csrRowA, int[] csrColA, cusparseOperation op, cusparseSolveAnalysisInfo info, cusparseMatDescr descrA);
private static extern CUSPARSEStatus cusparseDestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info);
/// <summary> /// Performs the solve phase of the solution of a sparse triangular linear system. /// op(A) * y = alpha * x /// </summary> /// <param name="m">specifies the number of rows and columns of matrix A; m must be at least zero.</param> /// <param name="alpha">scalar multiplier applied to x.</param> /// <param name="csrValA">array of nnz elements, where nnz is the number of non-zero elements and can be obtained from csrRow[m] - csrRow[0].</param> /// <param name="csrRowA">array of m+1 index elements.</param> /// <param name="csrColA">array of nnz column indices.</param> /// <param name="x">vector of m elements.</param> /// <param name="y">vector of m elements. updated according to op(A) * y = alpha * x</param> /// <param name="op">specifies op(A).</param> /// <param name="info">structure that stores the information collected during the analysis phase. It should be passed to the solve phase unchanged.</param> /// <param name="descrA">descriptor of matrix A.</param> public abstract void CSRSV_SOLVE(int m, ref double alpha, double[] csrValA, int[] csrRowA, int[] csrColA, double[] x, double[] y, cusparseOperation op, cusparseSolveAnalysisInfo info, cusparseMatDescr descrA);
public override void CreateSolveAnalysisInfo(ref cusparseSolveAnalysisInfo info)
{
LastStatus = _driver.CusparseCreateSolveAnalysisInfo(ref info);
}
private static extern CUSPARSEStatus cusparseDcsrsv_solve_v2(cusparseHandle handle, cusparseOperation transA, int m, ref double alpha, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info, IntPtr x, IntPtr y);
public override void DestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info)
{
LastStatus = _driver.CusparseDestroySolveAnalysisInfo(info);
}
public CUSPARSEStatus CusparseDestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info)
{
return(cusparseDestroySolveAnalysisInfo(info));
}
public override void CSRSV_ANALYSIS(int m, int nnz, double[] csrValA, int[] csrRowA, int[] csrColA, cusparseOperation op, cusparseSolveAnalysisInfo info, cusparseMatDescr descrA)
{
CUdeviceptr ptrcsrv = GetDeviceMemory(csrValA);
CUdeviceptr ptrcsrr = GetDeviceMemory(csrRowA);
CUdeviceptr ptrcsrc = GetDeviceMemory(csrColA);
LastStatus = _driver.CusparseDcsrsv_analysis(_sparse, op, m, nnz, descrA, ptrcsrv.Pointer, ptrcsrr.Pointer, ptrcsrc.Pointer, info);
}
public CUSPARSEStatus CusparseDcsrsv_solve(cusparseHandle handle, cusparseOperation transA, int m, ref double alpha, cusparseMatDescr descrA, IntPtr csrValA, IntPtr csrRowPtrA, IntPtr csrColIndA, cusparseSolveAnalysisInfo info, IntPtr x, IntPtr y)
{
return(cusparseDcsrsv_solve_v2(handle, transA, m, ref alpha, descrA, csrValA, csrRowPtrA, csrColIndA, info, x, y));
}
public override void CSRSV_SOLVE(int m, ref double alpha, double[] csrValA, int[] csrRowA, int[] csrColA, double[] x, double[] y, cusparseOperation op, cusparseSolveAnalysisInfo info, cusparseMatDescr descrA)
{
CUdeviceptr ptrcsrv = GetDeviceMemory(csrValA);
CUdeviceptr ptrcsrr = GetDeviceMemory(csrRowA);
CUdeviceptr ptrcsrc = GetDeviceMemory(csrColA);
CUdeviceptr ptrx = GetDeviceMemory(x);
CUdeviceptr ptry = GetDeviceMemory(y);
LastStatus = _driver.CusparseDcsrsv_solve(_sparse, op, m, ref alpha, descrA, ptrcsrv.Pointer, ptrcsrr.Pointer, ptrcsrc.Pointer, info, ptrx.Pointer, ptry.Pointer);
}
private static extern CUSPARSEStatus cusparseDestroySolveAnalysisInfo(cusparseSolveAnalysisInfo info);
public SolveResult CGPreconditioned(
int n, int nnz, float[] csrValA, int[] csrRowA, int[] csrColA, float[] dx, float[] db,
float[] csrValICP, int[] csrRowICP, int[] csrColICP,
float[] dy, float[] dp, float[] domega, float[] zm1, float[] zm2, float[] rm2, float tolerence = 0.0001f, int maxIterate = 300)
{
SolveResult result = new SolveResult();
// Make Incomplete Cholesky Preconditioner.
gpu.Launch().DefineLower(n, csrRowICP, csrColICP);
gpu.Launch(n, 1).CopyAIntoH(n, csrValA, csrRowA, csrValICP, csrRowICP);
gpu.Launch(n, 1).ConstructH(n, csrValICP, csrRowICP);
cusparseMatDescr descrM = new cusparseMatDescr();
descrM.MatrixType = cusparseMatrixType.Triangular;
descrM.FillMode = cusparseFillMode.Lower;
descrM.IndexBase = cusparseIndexBase.Zero;
descrM.DiagType = cusparseDiagType.NonUnit;
cusparseSolveAnalysisInfo info = new cusparseSolveAnalysisInfo();
sparse.CreateSolveAnalysisInfo(ref info);
cusparseSolveAnalysisInfo infoTrans = new cusparseSolveAnalysisInfo();
sparse.CreateSolveAnalysisInfo(ref infoTrans);
sparse.CSRSV_ANALYSIS(n, nnz, csrValICP, csrRowICP, csrColICP, cusparseOperation.NonTranspose, info, descrM);
sparse.CSRSV_ANALYSIS(n, nnz, csrValICP, csrRowICP, csrColICP, cusparseOperation.Transpose, infoTrans, descrM);
int k = 0;
float r1 = blas.DOT(db, db);
float alpha, beta;
float identityFloat = 1.0f;
float zeroFloat = 0.0f;
while (true)
{
sparse.CSRSV_SOLVE(n, ref identityFloat, csrValICP, csrRowICP, csrColICP, db, dy, cusparseOperation.NonTranspose, info, descrM);
sparse.CSRSV_SOLVE(n, ref identityFloat, csrValICP, csrRowICP, csrColICP, dy, zm1, cusparseOperation.Transpose, infoTrans, descrM);
k++;
if (k == 1)
{
blas.COPY(zm1, dp);
}
else
{
beta = blas.DOT(db, zm1) / blas.DOT(rm2, zm2);
blas.SCAL(beta, dp);
blas.AXPY(1.0f, zm1, dp);
}
sparse.CSRMV(n, n, nnz, ref identityFloat, csrValA, csrRowA, csrColA, dp, ref zeroFloat, domega);
alpha = blas.DOT(db, zm1) / blas.DOT(dp, domega);
blas.AXPY(alpha, dp, dx);
blas.COPY(db, rm2);
blas.COPY(zm1, zm2);
blas.AXPY(-alpha, domega, db);
r1 = blas.DOT(db, db);
if (r1 <= tolerence * tolerence)
{
result.IsSuccess = true;
result.IterateCount = k;
result.LastError = r1;
break;
}
if (k > maxIterate)
{
result.IsSuccess = false;
result.IterateCount = k;
result.LastError = r1;
break;
}
}
return result;
}
