### Get Number of Dimensions (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the number of dimensions (1, 2, or 3) configured for the input data in the MSDGPU plan.

```C++
int get_nDim();
```

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

### Get Number of Steps (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the number of steps (int3) used in the calculation process, likely related to processing dimensions.

```C++
int3 get_nSteps();
```

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

### Get Total Number of Blocks (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the total number of blocks used in the GPU kernel execution for the MSDGPU plan.

```C++
int get_nBlocks_total();
```

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

### Get Partial Kernel Grid Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the grid dimensions (dim3) configured for the partial calculation kernel in the MSDGPU plan.

```C++
dim3 get_partial_gridSize();
```

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

### Get Z Dimension Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the size of the third dimension (Z) of the input data as configured in the MSDGPU plan.

```C++
size_t get_dim_z();
```

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

### Get Y Dimension Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the size of the second dimension (Y) of the input data as configured in the MSDGPU plan.

```C++
size_t get_dim_y();
```

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

### Get X Dimension Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the size of the fastest moving dimension (X) of the input data as configured in the MSDGPU plan.

```C++
size_t get_dim_x();
```

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

### Get Final Kernel Grid Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the grid dimensions (dim3) configured for the final calculation kernel in the MSDGPU plan.

```C++
dim3 get_final_gridSize();
```

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

### Get Partial Kernel Block Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the block dimensions (dim3) configured for the partial calculation kernel in the MSDGPU plan.

```C++
dim3 get_partial_blockSize();
```

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

### Get Pointer to Partial Element Counts (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves a pointer to the device memory location storing intermediate element counts from the partial calculation kernel.

```C++
int* get_pointer_partial_nElements();
```

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

### Get Final Kernel Block Size (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the block dimensions (dim3) configured for the final calculation kernel in the MSDGPU plan.

```C++
dim3 get_final_blockSize();
```

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

### Get Pointer to Partial MSD Data (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves a pointer to the device memory location storing intermediate mean and standard deviation results from the partial calculation kernel.

```C++
float* get_pointer_partial_MSD();
```

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

### Get CUDA Stream (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the CUDA stream associated with the MSDGPU plan. If no stream was explicitly bound, this will return the default stream.

```C++
cudaStream_t get_CUDA_stream();
```

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

### Get Calculation Offset (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the offset value, which specifies the number of elements to exclude from the end of the fastest moving dimension during calculation.

```C++
int get_offset();
```

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

### Get Outlier Rejection Sigma Range (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Retrieves the sigma range threshold used for outlier rejection. Elements with an absolute z-value greater than this threshold are excluded.

```C++
float get_OR_sigma_range();
```

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

### Check MSDGPU Plan Readiness (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Checks if the MSDGPU plan has been successfully created and is ready for execution. Returns true if the plan is ready, false otherwise.

```C++
bool MSD_ready(void);
```

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

### Create MSDGPU Calculation Plan (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Creates the necessary plan and allocates resources for executing the MSDGPU library. Configures data dimensions, offset, outlier rejection settings, and batch processing.

```C++
MSD_Error Create_MSD_Plan(std::vector<size_t> data_dimensions, int offset, bool enable_outlier_rejection, float OR_sigma_range, int nBatches=1);
```

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

### Execute MSDGPU Calculation (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Executes the MSDGPU library's core functionality to calculate the mean and standard deviation of the input data. The results are stored on the device. Requires a configured MSD_Configuration object.

```C++
MSD_Error MSD_GetMeanStdev(float *d_MSD, size_t *d_MSD_nElements, float *d_input, MSD_Configuration &MSD_conf);
```

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

### Check Outlier Rejection Status (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Checks if outlier rejection is enabled in the current MSDGPU configuration. Returns true if enabled, false otherwise.

```C++
bool MSD_outlier_rejection(void);
```

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

### Destroy MSDGPU Calculation Plan (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Destroys the MSDGPU plan and releases any resources allocated during its creation. It is good practice to call this when the plan is no longer needed.

```C++
MSD_Error Destroy_MSD_Plan();
```

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

### Display MSDGPU Error Message (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Displays a human-readable error message corresponding to the provided MSD_Error code. Useful for debugging and handling library errors.

```C++
void Get_MSD_Error(MSD_Error error);
```

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

### Bind CUDA Stream to Plan (C++)

Source: https://github.com/kadamek/gpu_mean_and_stdev/blob/master/README.md

Associates a specific CUDA stream with the MSDGPU plan. All subsequent kernel executions for this plan will occur in the specified stream. If not called, the default stream is used.

```C++
void Bind_cuda_stream(cudaStream_t t_cuda_stream);
```

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