### Build and install

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Compile the source code and install the library to the ROCm directory.

```bash
make
make install
```

--------------------------------

### Run CG solver

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Execute the CG solver client to verify the installation.

```bash
.\cg.exe gr_30_30.mtx
```

--------------------------------

### Build rocALUTION from source

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Use the rmake.py script to build the library with various installation options.

```python
python3 rmake.py
```

```python
python3 rmake.py -i
```

```python
python3 rmake.py -ci
```

--------------------------------

### Synchronous Data Transfer Example

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-accelerators.html

Demonstrates moving matrix and vector data between host and accelerator backends for computation.

```cpp
LocalMatrix<ValueType> mat;
LocalVector<ValueType> vec1, vec2;

// Perform matrix vector multiplication on the host
mat.Apply(vec1, &vec2);

// Move data to the accelerator
mat.MoveToAccelerator();
vec1.MoveToAccelerator();
vec2.MoveToAccelerator();

// Perform matrix vector multiplication on the accelerator
mat.Apply(vec1, &vec2);

// Move data to the host
mat.MoveToHost();
vec1.MoveToHost();
vec2.MoveToHost();
```

--------------------------------

### Run CG solver client

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Execute the Conjugate Gradient solver using the extracted matrix file to verify the installation.

```bash
./cg gr_30_30.mtx
```

--------------------------------

### Verify HIP SDK version

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Check the installed version of the HIP SDK to ensure compatibility.

```bash
hipcc --version
```

--------------------------------

### Configure CMake with rocALUTION path

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/include-rocALUTION.html

Set the CMAKE_PREFIX_PATH to the location of the AMD HIP SDK installation.

```cmake
-DCMAKE_PREFIX_PATH="C:\Program Files\AMD\ROCm\5.5"
```

--------------------------------

### Create build directory

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Prepare the build environment by creating and entering a dedicated build directory.

```bash
mkdir build
cd build
```

--------------------------------

### Navigate to client directory

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Change to the staging directory containing the built client applications for either Release or Debug builds.

```bash
cd rocALUTION\build\release\clients\staging
```

```bash
cd rocALUTION\build\debug\clients\staging
```

--------------------------------

### Building on Host and Solving on the Accelerator

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

This approach builds the solver on the host and then moves the solver, matrix, and vectors to the accelerator for the solving phase.

```cpp
// CG solver
CG<LocalMatrix<ValueType>, LocalVector<ValueType>, ValueType> ls;
// Multi-Colored ILU preconditioner
MultiColoredILU<LocalMatrix<ValueType>, LocalVector<ValueType>, ValueType> p;

// Set mat to be the operator
ls.SetOperator(mat);
// Set p as the preconditioner of ls
ls.SetPreconditioner(p);

// Build the solver and preconditioner on the host
ls.Build();

// Move matrix and vectors to the accelerator
mat.MoveToAccelerator();
rhs.MoveToAccelerator();
x.MoveToAccelerator();

// Move linear solver to the accelerator
ls.MoveToAccelerator();

// Compute the solution on the accelerator
ls.Solve(rhs, &x);
```

--------------------------------

### Initialize rocALUTION with MPI

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-api-basics.html

Demonstrates initializing the library with MPI rank and accelerator mapping. Ensure MPI is initialized before calling init_rocalution.

```cpp
#include <rocalution.hpp>
#include <mpi.h>

using namespace rocalution;

int main(int argc, char* argv[])
{
    MPI_Init(&argc, &argv);
    MPI_Comm comm = MPI_COMM_WORLD;

    int num_processes;
    int rank;

    MPI_Comm_size(comm, &num_processes);
    MPI_Comm_rank(comm, &rank);

    int nacc_per_node = 2;

    init_rocalution(rank, nacc_per_node);

    // ... do some work

    stop_rocalution();

    return 0;
}
```

--------------------------------

### Download test matrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Retrieve a sample matrix in Matrix Market format for testing the solver.

```bash
wget https://math.nist.gov/pub/MatrixMarket2/Harwell-Boeing/laplace/gr_30_30.mtx.gz
```

--------------------------------

### Building and Solving on the Accelerator

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

This approach builds the solver and preconditioner directly on the accelerator after moving the matrix and vectors.

```cpp
// CG solver
CG<LocalMatrix<ValueType>, LocalVector<ValueType>, ValueType> ls;
// Multi-Colored ILU preconditioner
MultiColoredILU<LocalMatrix<ValueType>, LocalVector<ValueType>, ValueType> p;

// Move matrix and vectors to the accelerator
mat.MoveToAccelerator();
rhs.MoveToAccelerator();
x.MoveToAccelerator();

// Set mat to be the operator
ls.SetOperator(mat);
// Set p as the preconditioner of ls
ls.SetPreconditioner(p);

// Build the solver and preconditioner on the accelerator
ls.Build();

// Compute the solution on the accelerator
ls.Solve(rhs, &x);
```

--------------------------------

### Configure Block-Preconditioner Settings

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Methods for setting solver parameters, modes, and external matrices for the Block-Preconditioner.

```cpp
void rocalution::BlockPreconditioner::Set(int n, const int *size, Solver<OperatorType, VectorType, ValueType> **D_solver)
```

```cpp
void rocalution::BlockPreconditioner::SetDiagonalSolver(void)
```

```cpp
void rocalution::BlockPreconditioner::SetLSolver(void)
```

```cpp
void rocalution::BlockPreconditioner::SetExternalLastMatrix(const OperatorType &mat)
```

```cpp
virtual void rocalution::BlockPreconditioner::SetPermutation(const LocalVector<int> &perm)
```

--------------------------------

### rocalution::init_rocalution

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-api-basics.html

Initializes the rocALUTION platform, defining the backend descriptor and hardware specifications.

```APIDOC
## int rocalution::init_rocalution(int rank = -1, int dev_per_node = 1)

### Description
Initializes the rocALUTION platform and allocates hardware resources. This function must be called before any other library operations.

### Parameters
- **rank** (int) - Optional - Specifies the MPI rank in a multi-node environment.
- **dev_per_node** (int) - Optional - Specifies the number of accelerator devices per node in a multi-GPU environment.
```

--------------------------------

### rocalution::MultiColoredILU::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Initializes the multi-colored ILU preconditioner with specific parameters.

```APIDOC
## void rocalution::MultiColoredILU::Set(int p)
## void rocalution::MultiColoredILU::Set(int p, int q, bool level = true)

### Description
Initializes a multi-colored ILU(p, q) preconditioner. The single parameter version initializes an ILU(p, p+1) preconditioner.

### Parameters
- **p** (int) - Required - The p parameter for ILU.
- **q** (int) - Optional - The q parameter for ILU.
- **level** (bool) - Optional - If true, performs factorization with levels; if false, performs factorization only on the power(q)-pattern (default is true).
```

--------------------------------

### rocalution::Solver::Build

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Allocates data and prepares the solver structure.

```APIDOC
## virtual void rocalution::Solver::Build(void)

### Description
Builds the solver, performing necessary data allocation, structure setup, and initial numerical computation. The operator must be set via SetOperator() before calling this method.
```

--------------------------------

### rocalution::Solver::MoveToHost / MoveToAccelerator

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Manages data placement between host and accelerator.

```APIDOC
## virtual void rocalution::Solver::MoveToHost(void)
## virtual void rocalution::Solver::MoveToAccelerator(void)

### Description
These methods offload the solver, including all preconditioners and sub-solvers, to either the host or the accelerator.
```

--------------------------------

### Configuration Functions

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-api-basics.html

Functions for configuring the runtime environment, including thread management, device selection, and backend information.

```APIDOC
## Configuration Functions

- **set_device_rocalution(int id)**: Selects a specific accelerator device. Must be called before init_rocalution().
- **set_omp_threads_rocalution(int n)**: Sets the number of OpenMP threads. Must be called after init_rocalution().
- **set_omp_threshold_rocalution(int size)**: Modifies the OpenMP threshold size for host backend performance optimization.
- **set_omp_affinity_rocalution(bool enable)**: Enables or disables thread affinity. Must be called before initialization.
- **disable_accelerator_rocalution()**: Disables the use of accelerators.
- **info_rocalution()**: Prints detailed information about the current backend and available accelerators.
```

--------------------------------

### Convert and Apply Matrix Formats

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Demonstrates converting a matrix to specific storage formats and performing matrix-vector multiplication.

```cpp
// Convert mat to CSR storage format
mat.ConvertToCSR();
// Perform a matrix-vector multiplication y = mat * x in CSR format
mat.Apply(x, &y);

// Convert mat to ELL storage format
mat.ConvertToELL();
// Perform a matrix-vector multiplication y = mat * x in ELL format
mat.Apply(x, &y);
```

```cpp
// Convert mat to CSR storage format
mat.ConvertTo(CSR);
// Perform a matrix-vector multiplication y = mat * x in CSR format
mat.Apply(x, &y);

// Convert mat to ELL storage format
mat.ConvertTo(ELL);
// Perform a matrix-vector multiplication y = mat * x in ELL format
mat.Apply(x, &y);
```

--------------------------------

### Download and decompress test matrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Retrieve and extract a sample matrix for testing the solver.

```bash
curl -LO https://math.nist.gov/pub/MatrixMarket2/Harwell-Boeing/laplace/gr_30_30.mtx.gz
```

```bash
gunzip gr_30_30.mtx.gz
```

--------------------------------

### Configure build with CMake

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Generate build files using CMake, specifying the ROCm path and enabling optional features like MPI.

```bash
cmake .. -DSUPPORT_MPI=ON -DROCM_PATH=/opt/rocm/
```

--------------------------------

### Print Object Information

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Use the Info() method to display properties and backend data for rocALUTION objects.

```cpp
mat.Info();
vec.Info();
```

--------------------------------

### rocalution::DiagJacobiSaddlePointPrecond::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Initializes the solver for the K and S components of the saddle-point problem.

```APIDOC
## void rocalution::DiagJacobiSaddlePointPrecond::Set(Solver<OperatorType, VectorType, ValueType> &K_Solver, Solver<OperatorType, VectorType, ValueType> &S_Solver)

### Description
Initializes the preconditioner with external solvers for the K and S matrices.

### Parameters
- **K_Solver** (Solver<OperatorType, VectorType, ValueType>&) - Required - Solver for the K matrix.
- **S_Solver** (Solver<OperatorType, VectorType, ValueType>&) - Required - Solver for the S matrix.
```

--------------------------------

### Registering a new solver in rocalution.hpp

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Include the new solver header file in the main rocalution.hpp to make it visible to the library.

```cpp
...
#include "solvers/krylov/cg.hpp"
#include "solvers/krylov/mysolver.hpp"
#include "solvers/krylov/cr.hpp"
...
```

--------------------------------

### Implement HIP-based algorithm for CSR

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Provide the HIP implementation in src/base/hip/hip_matrix_csr.cpp, using hipLaunchKernelGGL to execute the kernel on the accelerator.

```cpp
template <typename ValueType>
bool HIPAcceleratorMatrixCSR<ValueType>::MyNewFunctionality(void)
{
    // Place some asserts to verify sanity of input data

    // Our algorithm works only for squared matrices
    assert(this->nrow_ == this->ncol_);
    assert(this->nnz_ > 0);

    // Enqueue the HIP kernel
    hipLaunchKernelGGL((kernel_csr_mynewfunctionality),
                       dim3((this->nrow_ - 1) / this->local_backend_.HIP_block_size + 1),
                       dim3(this->local_backend_.HIP_block_size),
                       0,
                       0,
                       this->mat_.row_offset,
                       this->mat_.col,
                       this->mat_.val);

    // Check for HIP execution error before successfully returning
    CHECK_HIP_ERROR(__FILE__, __LINE__);

    return true;
}
```

--------------------------------

### PairwiseAMG Configuration Methods

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Configuration methods for the Pairwise Aggregation AMG solver.

```APIDOC
## void rocalution::PairwiseAMG::SetBeta(ValueType beta)

### Description
Sets the beta parameter for pairwise aggregation.

## void rocalution::PairwiseAMG::SetOrdering(unsigned int ordering)

### Description
Sets the re-ordering strategy for aggregation.

## void rocalution::PairwiseAMG::SetCoarseningFactor(double factor)

### Description
Sets the target coarsening factor for the solver.
```

--------------------------------

### Allocate and Clear LocalMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Demonstrates allocating local matrices using CSR and COO formats, followed by clearing the memory.

```cpp
LocalMatrix<ValueType> mat;

mat.AllocateCSR("my CSR matrix", 456, 100, 100);
mat.Clear();

mat.AllocateCOO("my COO matrix", 200, 100, 100);
mat.Clear();
```

--------------------------------

### rocalution::BaseRocalution::MoveToHost

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-accelerators.html

Moves the object to the host backend.

```APIDOC
## virtual void rocalution::BaseRocalution::MoveToHost(void)

### Description
Move the object to the host backend.
```

--------------------------------

### Implement default BaseMatrix functionality

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Provide a default implementation that returns false to indicate that the functionality is not supported by default.

```cpp
template <typename ValueType>
bool MyNewFunctionality(void)
{
    return false;
}
```

--------------------------------

### MultiElimination::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Initializes the Multi-Elimination ILU preconditioner recursively.

```APIDOC
## void rocalution::MultiElimination::Set(Solver<OperatorType, VectorType, ValueType> &AA_Solver, int level, double drop_off = 0.0)

### Description
Initializes the ME-ILU preconditioner recursively. The AA_Solver defines the solver used for the last block, while level specifies the recursion depth and drop_off defines the tolerance.

### Parameters
- **AA_Solver** (Solver<OperatorType, VectorType, ValueType>&) - Required - The solver to be used for the last block.
- **level** (int) - Required - The depth of the recursion.
- **drop_off** (double) - Optional - The drop-off tolerance for the factorization.
```

--------------------------------

### rocalution::LocalMatrix::SetDataPtr Methods

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Methods to initialize LocalMatrix objects on the host with externally allocated data for various formats.

```APIDOC
## rocalution::LocalMatrix::SetDataPtr[Format]

### Description
Initializes a LocalMatrix on the host with externally allocated data. Supported formats include COO, CSR, MCSR, ELL, DIA, and DENSE. The original pointers passed to these methods will be set to NULL.

### Methods
- **SetDataPtrCOO**
- **SetDataPtrCSR**
- **SetDataPtrMCSR**
- **SetDataPtrELL**
- **SetDataPtrDIA**
- **SetDataPtrDENSE**

### Parameters
- **Pointers** (Various**) - Required - Pointers to the matrix data structures (e.g., row, col, val).
- **name** (std::string) - Required - Name of the matrix.
- **nnz** (int64_t) - Required - Number of non-zero elements (not applicable to DENSE).
- **nrow** (int64_t) - Required - Number of rows.
- **ncol** (int64_t) - Required - Number of columns.
```

--------------------------------

### Implement host-based algorithm for CSR

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Provide the host-side implementation in src/base/host/host_matrix_csr.cpp, ensuring input data sanity with assertions.

```cpp
template <typename ValueType>
bool HostMatrixCSR<ValueType>::MyNewFunctionality(void)
{
    // Place some asserts to verify sanity of input data

    // Our algorithm works only for squared matrices
    assert(this->nrow_ == this->ncol_);
    assert(this->nnz_ > 0);

    // place the actual host based algorithm here:
    // for illustration, we scale the matrix by its inverse diagonal
    for(int i = 0; i < this->nrow_; ++i)
    {
        int row_begin = this->mat_.row_offset[i];
        int row_end   = this->mat_.row_offset[i + 1];

        bool diag_found = false;
        ValueType inv_diag;

        // Find the diagonal entry
        for(int j = row_begin; j < row_end; ++j)
        {
            if(this->mat_.col[j] == i)
            {
                diag_found = true;
                inv_diag = static_cast<ValueType>(1) / this->mat_.val[j];
            }
        }

        // Our algorithm works only with full rank
        assert(diag_found == true);

        // Scale the row
        for(int j = row_begin; j < row_end; ++j)
        {
            this->mat_.val[j] *= inv_diag;
        }
    }

    return true;
}
```

--------------------------------

### Read and Write MTX Files with LocalMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Use these methods to import or export matrices in the Matrix Market format.

```cpp
LocalMatrix<ValueType> mat;
mat.ReadFileMTX("my_matrix.mtx");
```

```cpp
LocalMatrix<ValueType> mat;

// Allocate and fill mat
// ...

mat.WriteFileMTX("my_matrix.csr");
```

--------------------------------

### Implement LocalMatrix functionality

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Implement the routine in the LocalMatrix class, ensuring proper matrix format conversion and backend handling.

```cpp
template <typename ValueType>
void LocalMatrix<ValueType>::MyNewFunctionality(void)
{
    // Debug logging
    log_debug(this, "LocalMatrix::MyNewFunctionality()");

#ifdef DEBUG_MODE
    // If we are in debug mode, perform an additional matrix sanity check
    this->Check();
#endif

    // If no non-zero entries, do nothing
    if(this->GetNnz() > 0)
    {
        // As we want to implement our function only for CSR, we first need to convert
        // the matrix to CSR format
        unsigned int format = this->GetFormat();
        int blockdim = this->GetBlockDimension();
        this->ConvertToCSR();

        // Call the corresponding base matrix implementation
        bool err = this->matrix_->MyNewFunctionality();

        // Check its return type
        if((err == false) && (this->is_host_() == true))
        {
            // If our matrix is on the host, the function call failed.
            LOG_INFO("Computation of LocalMatrix::MyNewFunctionality() failed");
            this->Info();
            FATAL_ERROR(__FILE__, __LINE__);
        }

        // Run backup algorithm on host, in case the accelerator version failed
        if(err == false)
        {
            // Move matrix to host
            bool is_accel = this->is_accel_();
            this->MoveToHost();

            // Try again
            if(this->matrix_->MyNewFunctionality() == false)
            {
                LOG_INFO("Computation of LocalMatrix::MyNewFunctionality() failed");
                this->Info();
                FATAL_ERROR(__FILE__, __LINE__);
            }

            // On a successful host call, move the data back to the accelerator
            // if initial data was on the accelerator
            if(is_accel == true)
            {
                // Print a warning, that the algorithm was performed on the host
                // even though the initial data was on the device
                LOG_VERBOSE_INFO(2, "*** warning: LocalMatrix::MyNewFunctionality() was performed on the host");

                this->MoveToAccelerator();
            }
        }

        // Convert the matrix back to CSR format
        if(format != CSR)
        {
            // Print a warning, that the algorithm was performed in CSR format
            // even though the initial matrix format was different
            LOG_VERBOSE_INFO(2, "*** warning: LocalMatrix::MyNewFunctionality() was performed in CSR format");

            this->ConvertTo(format, blockdim);
        }
    }

#ifdef DEBUG_MODE
    // Perform additional sanity check in debug mode, because this is a non-const function
    this->Check();
#endif
}
```

--------------------------------

### rocalution::BaseAMG::BuildHierarchy

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Creates the AMG hierarchy for the solver.

```APIDOC
## virtual void rocalution::BaseAMG::BuildHierarchy(void)

### Description
Create the AMG hierarchy required for the solver execution.
```

--------------------------------

### Read and Write CSR Files with LocalMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Use these methods to handle rocALUTION binary CSR format files.

```cpp
LocalMatrix<ValueType> mat;
mat.ReadFileCSR("my_matrix.csr");
```

```cpp
// Header
out << "#rocALUTION binary csr file" << std::endl;

// rocALUTION version
out.write((char*)&version, sizeof(int));

// CSR matrix data
out.write((char*)&m, sizeof(int));
out.write((char*)&n, sizeof(int));
out.write((char*)&nnz, sizeof(int64_t));
out.write((char*)csr_row_ptr, (m + 1) * sizeof(int));
out.write((char*)csr_col_ind, nnz * sizeof(int));
out.write((char*)csr_val, nnz * sizeof(double));
```

```cpp
LocalMatrix<ValueType> mat;

// Allocate and fill mat
// ...

mat.WriteFileCSR("my_matrix.csr");
```

--------------------------------

### rocalution::BaseRocalution::MoveToAccelerator

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-accelerators.html

Moves the object to the accelerator backend.

```APIDOC
## virtual void rocalution::BaseRocalution::MoveToAccelerator(void)

### Description
Move the object to the accelerator backend.
```

--------------------------------

### FSAI::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the Factorized Sparse Approximate Inverse preconditioner using either a power parameter or an external sparsity pattern.

```APIDOC
## void rocalution::FSAI::Set(int power)

### Description
Sets the power of the system matrix sparsity pattern for the FSAI preconditioner.

### Parameters
- **power** (int) - The power of the system matrix sparsity pattern.

## void rocalution::FSAI::Set(const OperatorType &pattern)

### Description
Sets an external sparsity pattern for the FSAI preconditioner.

### Parameters
- **pattern** (const OperatorType &) - The external sparsity pattern provided as a LocalMatrix.
```

--------------------------------

### Copy Local Matrix Data

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

The CopyFrom() method transfers values and structure between local matrices, supporting cross-platform copying between host and accelerator backends.

```cpp
LocalMatrix<ValueType> mat1, mat2;

// Allocate and initialize mat1 and mat2
// ...

// Move mat1 to accelerator
// mat1.MoveToAccelerator();

// Now, mat1 is on the accelerator (if available)
// and mat2 is on the host

// Copy mat1 to mat2 (or vice versa) will move data between host and
// accelerator backend
mat1.CopyFrom(mat2);
```

--------------------------------

### Retrieve rocALUTION version information

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-api-basics.html

Use these pre-defined macros to check the library version within an application.

```cpp
#define __ROCALUTION_VER_MAJOR  // version major
#define __ROCALUTION_VER_MINOR  // version minor
#define __ROCALUTION_VER_PATCH  // version patch
#define __ROCALUTION_VER_TWEAK  // commit id (sha-1)

#define __ROCALUTION_VER_PRE    // version pre-release (alpha or beta)

#define __ROCALUTION_VER        // version
```

--------------------------------

### rocalution::BaseAMG::BuildSmoothers

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Creates the smoothers for the AMG solver.

```APIDOC
## virtual void rocalution::BaseAMG::BuildSmoothers(void)

### Description
Create the AMG smoothers used during the iteration process.
```

--------------------------------

### Adding a solver to CMakeLists.txt

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Register the new solver's source file in the CMake compilation list located in src/solvers/CMakeLists.txt.

```cmake
...
set(SOLVERS_SOURCES
  solvers/krylov/cg.cpp
  solvers/krylov/mysolver.cpp
  solvers/krylov/fcg.cpp
...
```

--------------------------------

### Initialize and Finalize rocALUTION

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-api-basics.html

Basic structure for a rocALUTION application, requiring initialization and finalization calls.

```cpp
#include <rocalution/rocalution.hpp>

using namespace rocalution;

int main(int argc, char* argv[])
{
    init_rocalution();

    // ...

    stop_rocalution();

    return 0;
}
```

--------------------------------

### Extract test matrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/install/rocALUTION-install.html

Decompress the downloaded matrix file.

```bash
gzip -d gr_30_30.mtx.gz
```

--------------------------------

### Matrix Inversion Solver

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Matrix inversion class based on QR decomposition.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class Inversion : public rocalution::DirectLinearSolver<OperatorType, VectorType, ValueType>
```

--------------------------------

### rocalution::ILU::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Initializes the ILU(p) factorization based on levels or power.

```APIDOC
## void rocalution::ILU::Set(int p, bool level = true)

### Description
Initialize ILU(p) factorization. This method computes a sparse lower and sparse upper triangular matrix such that A=LU-R.

### Parameters
- **p** (int) - The power parameter for the factorization.
- **level** (bool) - If true, build the structure based on levels; if false, build based on power(p+1).
```

--------------------------------

### Set Local Preconditioner for Block-Jacobi

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the local preconditioner used within the Block-Jacobi wrapper.

```cpp
void rocalution::BlockJacobi::Set(Solver<LocalMatrix<ValueType>, LocalVector<ValueType>, ValueType> &precond)
```

--------------------------------

### Solver Interface Methods

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Virtual methods defining the standard interface for solver operations.

```cpp
void rocalution::Solver::SetOperator(const OperatorType &op)
```

```cpp
virtual void rocalution::Solver::Build(void)
```

```cpp
virtual void rocalution::Solver::Clear(void)
```

```cpp
virtual void rocalution::Solver::Solve(const VectorType &rhs, VectorType *x) = 0
```

```cpp
virtual void rocalution::Solver::Print(void) const = 0
```

```cpp
virtual void rocalution::Solver::ReBuildNumeric(void)
```

```cpp
virtual void rocalution::Solver::MoveToHost(void)
```

```cpp
virtual void rocalution::Solver::MoveToAccelerator(void)
```

--------------------------------

### rocalution::BaseRocalution::Info

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Prints object information, including properties and backend data, for any rocALUTION object.

```APIDOC
## void rocalution::BaseRocalution::Info(void) const

### Description
Prints object information, including properties and backend data, for any rocALUTION object.

### Example
```cpp
mat.Info();
vec.Info();
```
```

--------------------------------

### rocalution::BlockPreconditioner::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the number, size, and diagonal solvers for the block preconditioner.

```APIDOC
## void rocalution::BlockPreconditioner::Set(int n, const int *size, Solver<OperatorType, VectorType, ValueType> **D_solver)

### Description
Sets the number of blocks, the size of each block, and the diagonal solvers for the block-type preconditioner.

### Parameters
- **n** (int) - Number of blocks.
- **size** (const int*) - Array containing the size of each block.
- **D_solver** (Solver<OperatorType, VectorType, ValueType>**) - Array of pointers to solvers for the diagonal blocks.
```

--------------------------------

### rocalution::BaseRocalution::MoveToHostAsync

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-accelerators.html

Initiates an asynchronous move of the object to the host backend.

```APIDOC
## virtual void rocalution::BaseRocalution::MoveToHostAsync(void)

### Description
Move the object to the host backend with async move. The object switches to the new location after the Sync() function is called.
```

--------------------------------

### Importing CSR matrix data

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Shows how to import CSR matrix data into a LocalMatrix object using CopyFromCSR.

```cpp
// Allocate the CSR matrix
int* csr_row_ptr   = new int[100 + 1];
int* csr_col_ind   = new int[345];
ValueType* csr_val = new ValueType[345];

// Fill the CSR matrix
// ...

// rocALUTION local matrix object
LocalMatrix<ValueType> mat;

// Import CSR matrix to rocALUTION
mat.AllocateCSR("my_matrix", 345, 100, 100);
mat.CopyFromCSR(csr_row_ptr, csr_col, csr_val);
```

--------------------------------

### Link rocALUTION in CMakeLists.txt

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/include-rocALUTION.html

Use find_package and target_link_libraries to include rocALUTION in your project build.

```cmake
find_package(rocalution)

target_link_libraries( your_exe PRIVATE roc::rocalution )
```

--------------------------------

### rocalution::BaseRocalution::MoveToAcceleratorAsync

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-accelerators.html

Initiates an asynchronous move of the object to the accelerator backend.

```APIDOC
## virtual void rocalution::BaseRocalution::MoveToAcceleratorAsync(void)

### Description
Move the object to the accelerator backend with async move. The object switches to the new location after the Sync() function is called.
```

--------------------------------

### QR Decomposition Solver

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

QR decomposition class for decomposing matrices into orthogonal and upper triangular matrices.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class QR : public rocalution::DirectLinearSolver<OperatorType, VectorType, ValueType>
```

--------------------------------

### DirectLinearSolver Class

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Base class for direct linear solvers including LU, QR, and Inversion. These solvers are intended for small, local-type problems.

```APIDOC
## class rocalution::DirectLinearSolver<OperatorType, VectorType, ValueType>

### Description
Base class for all direct linear solvers. The library provides three direct methods - LU, QR and Inversion (based on QR decomposition). The user can pass a sparse matrix, internally it will be converted to dense and then the selected method will be applied.

### Template Parameters
- **OperatorType**: Can be LocalMatrix
- **VectorType**: Can be LocalVector
- **ValueType**: Can be float, double, std::complex<float> or std::complex<double>
```

--------------------------------

### Extracting raw data from a LocalMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Demonstrates how to steal raw data from a LocalMatrix object in CSR format, leaving the matrix object empty.

```cpp
// rocALUTION CSR matrix object
LocalMatrix<ValueType> mat;

// Allocate the CSR matrix
mat.AllocateCSR("my_matrix", 345, 100, 100);

// Fill CSR matrix
// ...

int* csr_row_ptr   = NULL;
int* csr_col_ind   = NULL;
ValueType* csr_val = NULL;

// Get (steal) the data from the matrix, this will leave the local matrix
// object empty
mat.LeaveDataPtrCSR(&csr_row_ptr, &csr_col_ind, &csr_val);
```

--------------------------------

### Perform Connectivity Ordering

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Sorts the matrix based on the number of non-zero entries per row.

```cpp
LocalVector<int> conn;

mat.ConnectivityOrder(&conn);
mat.Permute(conn);
```

--------------------------------

### Declare new functionality in BaseMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Add the new routine as a public virtual member function in the base_matrix.hpp header file.

```cpp
...
virtual bool ILU0Factorize(void);

/// Perform MyNewFunctionality algorithm
virtual bool MyNewFunctionality(void);

/// Perform LU factorization
...
```

--------------------------------

### rocalution::LocalVector::SetDataPtr

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Initializes a LocalVector on the host using externally allocated data.

```APIDOC
## rocalution::LocalVector::SetDataPtr

### Description
Initializes a LocalVector on the host with externally allocated data. The original pointer passed to this method will be set to NULL.

### Parameters
- **ptr** (ValueType**) - Required - Pointer to the external data.
- **name** (std::string) - Required - Name of the vector.
- **size** (int64_t) - Required - Size of the vector.
```

--------------------------------

### rocalution::LocalMatrix::LeaveDataPtr Methods

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Methods to extract raw data from various LocalMatrix formats (COO, CSR, MCSR, ELL, DIA, DENSE).

```APIDOC
## LocalMatrix LeaveDataPtr Methods

### Description
These methods allow extraction of raw data from LocalMatrix objects based on their storage format. The matrix object is left empty after the operation.

### Methods
- **LeaveDataPtrCOO(int **row, int **col, ValueType **val)**
- **LeaveDataPtrCSR(PtrType **row_offset, int **col, ValueType **val)**
- **LeaveDataPtrMCSR(int **row_offset, int **col, ValueType **val)**
- **LeaveDataPtrELL(int **col, ValueType **val, int &max_row)**
- **LeaveDataPtrDIA(int **offset, ValueType **val, int &num_diag)**
- **LeaveDataPtrDENSE(ValueType **val)**
```

--------------------------------

### IterativeLinearSolver Methods

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Methods available for configuring and interacting with iterative linear solvers.

```APIDOC
## void Init(double abs_tol, double rel_tol, double div_tol, int max_iter)

### Description
Initializes the solver with absolute, relative, and divergence tolerances, and the maximum number of iterations.

## void Init(double abs_tol, double rel_tol, double div_tol, int min_iter, int max_iter)

### Description
Initializes the solver with absolute, relative, and divergence tolerances, and both minimum and maximum number of iterations.

## void InitMinIter(int min_iter)

### Description
Sets the minimum number of iterations required before the solver can stop.

## void InitMaxIter(int max_iter)

### Description
Sets the maximum number of iterations allowed.

## void InitTol(double abs, double rel, double div)

### Description
Updates the absolute, relative, and divergence tolerances for the solver.

## void RecordResidualHistory(void)

### Description
Enables recording of the residual history during solver execution.

## void RecordHistory(const std::string &filename) const

### Description
Writes the recorded solver history to the specified file.

## void Verbose(int verb = 1)

### Description
Sets the verbosity level of the solver output (0: no output, 2: detailed output).

## void SetPreconditioner(Solver<OperatorType, VectorType, ValueType> &precond)

### Description
Assigns a preconditioner to the linear solver.

## void SetResidualNorm(int resnorm)

### Description
Sets the residual norm type: 1 for L1, 2 for L2, or 3 for L∞.

## int64_t GetAmaxResidualIndex(void)

### Description
Returns the index of the maximum residual value when using the L∞ norm.

## int GetSolverStatus(void)

### Description
Returns the current status of the solver (0: running, 1: abs tol reached, 2: rel tol reached, 3: div tol reached, 4: max iterations reached).
```

--------------------------------

### rocalution::AS::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the Additive Schwarz preconditioner with the number of blocks, overlap, and an array of preconditioners.

```APIDOC
## void rocalution::AS::Set(int nb, int overlap, Solver<OperatorType, VectorType, ValueType> **preconds)

### Description
Sets the number of blocks, the overlap size, and the array of preconditioners for the Additive Schwarz method.

### Parameters
- **nb** (int) - Required - Number of blocks.
- **overlap** (int) - Required - Overlap size.
- **preconds** (Solver<OperatorType, VectorType, ValueType>**) - Required - Array of preconditioners.
```

--------------------------------

### rocalution::Solver::Solve

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Executes the solver to find the solution vector.

```APIDOC
## virtual void rocalution::Solver::Solve(const VectorType &rhs, VectorType *x)

### Description
Solves the linear system Ax = rhs, where A is the operator set by SetOperator().

### Parameters
- **rhs** (const VectorType &) - The right-hand-side vector b.
- **x** (VectorType *) - Pointer to the vector where the solution will be stored.
```

--------------------------------

### Matrix Inversion

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Performs full matrix inversion based on QR decomposition.

```APIDOC
## class rocalution::Inversion<OperatorType, VectorType, ValueType>

### Description
Full matrix inversion based on QR decomposition.
```

--------------------------------

### Clone a LocalMatrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Clones the entire matrix including values, structure, and backend descriptor from a source LocalMatrix.

```cpp
LocalMatrix<ValueType> mat;

// Allocate and initialize mat (host or accelerator)
// ...

LocalMatrix<ValueType> tmp;

// By cloning mat, tmp will have identical values and structure and will be on
// the same backend as mat
tmp.CloneFrom(mat);
```

--------------------------------

### Allocate and Clear LocalVector

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Demonstrates how to allocate a local vector with a specified name and size, and subsequently clear it.

```cpp
LocalVector<ValueType> vec;

vec.Allocate("my vector", 100);
vec.Clear();
```

--------------------------------

### Declare host implementation in CSR matrix

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/how-to/extending-rocALUTION.html

Add the function declaration to the host CSR matrix header file.

```cpp
...
virtual bool ILUTFactorize(double t, int maxrow);

virtual bool MyNewFunctionality(void);

virtual void LUAnalyse(void);
...
```

--------------------------------

### Copy CSR matrix from host

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Allocates and copies host CSR matrix data into a LocalMatrix object.

```cpp
void rocalution::LocalMatrix::CopyFromHostCSR(const PtrType *row_offset, const int *col, const ValueType *val, const std::string &name, int64_t nnz, int64_t nrow, int64_t ncol)
```

--------------------------------

### FSAI::SetPrecondMatrixFormat

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Sets the matrix format for the FSAI preconditioner.

```APIDOC
## void rocalution::FSAI::SetPrecondMatrixFormat(unsigned int mat_format, int blockdim = 1)

### Description
Configures the internal matrix format used by the FSAI preconditioner.

### Parameters
- **mat_format** (unsigned int) - The matrix format identifier.
- **blockdim** (int) - The block dimension, defaults to 1.
```

--------------------------------

### LU Decomposition Solver

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

LU decomposition class for factoring square matrices into lower and upper triangular matrices.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class LU : public rocalution::DirectLinearSolver<OperatorType, VectorType, ValueType>
```

--------------------------------

### Preconditioner Class

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

The base class for all preconditioners in the rocALUTION library, supporting both local and global operators.

```APIDOC
## class Preconditioner<OperatorType, VectorType, ValueType>

### Description
Base class for all preconditioners in the rocALUTION library. All preconditioners support local operators and can be used as a global preconditioner via the block-jacobi scheme.

### Template Parameters
- **OperatorType** - Can be LocalMatrix or GlobalMatrix.
- **VectorType** - Can be LocalVector or GlobalVector.
- **ValueType** - Can be float, double, std::complex<float>, or std::complex<double>.
```

--------------------------------

### Solver Class Definition

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

The base class template for all solvers and preconditioners in the rocALUTION library.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class Solver : public rocalution::RocalutionObj
```

--------------------------------

### LocalMatrix::CloneFrom

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Clones the entire matrix, including values, structure, and backend descriptor from another LocalMatrix.

```APIDOC
## void rocalution::LocalMatrix::CloneFrom(const LocalMatrix<ValueType> &src)

### Description
Clone the matrix.

### Parameters
- **src** (const LocalMatrix<ValueType> &) - Required - LocalMatrix to clone from.
```

--------------------------------

### Clone a Backend Descriptor

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Clones the backend descriptor from another object without copying data, ensuring multiple objects reside on the same backend.

```cpp
LocalVector<ValueType> vec;
LocalMatrix<ValueType> mat;

// Allocate and initialize vec and mat
// ...

LocalVector<ValueType> tmp;
// By cloning backend, tmp and vec will have the same backend as mat
tmp.CloneBackend(mat);
vec.CloneBackend(mat);

// The following matrix vector multiplication will be performed on the backend
// selected in mat
mat.Apply(vec, &tmp);
```

--------------------------------

### DirectLinearSolver Base Class

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Base class for all direct linear solvers in rocALUTION.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class DirectLinearSolver : public rocalution::Solver<OperatorType, VectorType, ValueType>
```

--------------------------------

### rocalution::LocalMatrix::CopyFrom

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Copies values and structure from one LocalMatrix to another, supporting cross-platform transfers.

```APIDOC
## void rocalution::LocalMatrix::CopyFrom(const LocalMatrix<ValueType> &src)

### Description
Copies values and structure from a source LocalMatrix to a destination LocalMatrix. Both matrices must be in the same format. This function supports cross-platform copying between host and accelerator backends.

### Parameters
- **src** (LocalMatrix<ValueType>) - Required - The source local matrix to copy from.
```

--------------------------------

### AIChebyshev::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Sets the order and eigenvalue bounds for the Approximate Inverse Chebyshev preconditioner.

```APIDOC
## void rocalution::AIChebyshev::Set(int p, ValueType lambda_min, ValueType lambda_max)

### Description
Sets the order (p), minimum eigenvalue (lambda_min), and maximum eigenvalue (lambda_max) for the Chebyshev polynomial approximation.

### Parameters
- **p** (int) - The order of the Chebyshev polynomial.
- **lambda_min** (ValueType) - The minimum eigenvalue estimate.
- **lambda_max** (ValueType) - The maximum eigenvalue estimate.
```

--------------------------------

### Perform Cuthill-McKee Ordering

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Generates a permutation vector to minimize the bandwidth of a sparse matrix using the CMK algorithm.

```cpp
LocalVector<int> cmk;

mat.CMK(&cmk);
mat.Permute(cmk);
```

--------------------------------

### Setting LocalVector raw data pointer

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Initializes a LocalVector with externally allocated host memory using SetDataPtr.

```cpp
// Allocate vector
ValueType* ptr_vec = new ValueType[200];

// Fill vector
// ...

// rocALUTION local vector object
LocalVector<ValueType> vec;

// Set the vector data, ptr_vec will become invalid
vec.SetDataPtr(&ptr_vec, "my_vector", 200);
```

--------------------------------

### rocalution::SPAI::SetPrecondMatrixFormat

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Sets the matrix format for the SPAI preconditioner.

```APIDOC
## void rocalution::SPAI::SetPrecondMatrixFormat(unsigned int mat_format, int blockdim = 1)

### Description
Sets the matrix format of the preconditioner.

### Parameters
- **mat_format** (unsigned int) - Required - The matrix format to be used.
- **blockdim** (int) - Optional - The block dimension, defaults to 1.
```

--------------------------------

### rocalution::LocalVector::WriteFileBinary

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Writes a LocalVector to a binary file.

```APIDOC
## void rocalution::LocalVector::WriteFileBinary(const std::string &filename) const

### Description
Writes the contents of a LocalVector to a binary file.

### Parameters
- **filename** (const std::string &) - Required - The path to the file to write.
```

--------------------------------

### rocalution::TNS::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the computation mode for the TNS preconditioner.

```APIDOC
## void rocalution::TNS::Set(bool imp)

### Description
Sets the computation mode to implicit or explicit.

### Parameters
- **imp** (bool) - Required - Set to true for implicit computation, false for explicit.
```

--------------------------------

### BaseRocalution::CloneBackend

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Clones the backend descriptor from another object without copying any data.

```APIDOC
## virtual void rocalution::BaseRocalution::CloneBackend(const BaseRocalution<ValueType> &src)

### Description
Clone the Backend descriptor from another object. This is useful if several objects should reside on the same backend while keeping their original data.

### Parameters
- **src** (const BaseRocalution<ValueType> &) - Required - Object where the backend should be cloned from.
```

--------------------------------

### rocalution::Solver::Clear

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-solvers.html

Frees all local data associated with the solver.

```APIDOC
## virtual void rocalution::Solver::Clear(void)

### Description
Clears the solver by freeing all allocated local data.
```

--------------------------------

### Symmetric Gauss-Seidel and SSOR Preconditioner Class Definition

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Defines the SGS preconditioner class template for symmetric iterative approximation.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class SGS : public rocalution::Preconditioner<OperatorType, VectorType, ValueType>
```

--------------------------------

### Setting LocalMatrix raw data pointer for CSR

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-single-node-comp.html

Initializes a LocalMatrix with externally allocated CSR data using SetDataPtrCSR.

```cpp
// Allocate a CSR matrix
int* csr_row_ptr   = new int[100 + 1];
int* csr_col_ind   = new int[345];
ValueType* csr_val = new ValueType[345];

// Fill the CSR matrix
// ...

// rocALUTION local matrix object
LocalMatrix<ValueType> mat;

// Set the CSR matrix data, csr_row_ptr, csr_col and csr_val pointers become
// invalid
mat.SetDataPtrCSR(&csr_row_ptr, &csr_col, &csr_val, "my_matrix", 345, 100, 100);
```

--------------------------------

### Define Block-Jacobi Preconditioner

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Class definition for the Block-Jacobi preconditioner designed for MPI environments.

```cpp
template<class OperatorType, class VectorType, typename ValueType>  
class BlockJacobi : public rocalution::Preconditioner<OperatorType, VectorType, ValueType>
```

--------------------------------

### rocalution::ILUT::Set

Source: https://rocm.docs.amd.com/projects/rocALUTION/en/latest/reference/rocALUTION-preconditioners.html

Configures the drop-off threshold and fill-in limits for ILUT factorization.

```APIDOC
## void rocalution::ILUT::Set(double t)
## void rocalution::ILUT::Set(double t, int maxrow)

### Description
Sets the parameters for Incomplete LU Factorization based on threshold. Fill-in values are dropped depending on the threshold and optional maximum fill-ins per row.

### Parameters
- **t** (double) - The drop-off threshold.
- **maxrow** (int) - The maximum number of fill-ins allowed per row.
```