ExecutionConfig (SystemML 0.15.0 API)

java.lang.Object
- org.apache.sysml.runtime.instructions.gpu.context.ExecutionConfig

```
public class ExecutionConfig
extends Object
```
Java Wrapper to specify CUDA execution configuration for launching custom kernels

Field Summary

Fields
Modifier and Type	Field and Description
`int`	`blockDimX`
`int`	`blockDimY`
`int`	`blockDimZ`
`int`	`gridDimX`
`int`	`gridDimY`
`int`	`gridDimZ`
`int`	`sharedMemBytes`
`jcuda.driver.CUstream`	`stream`

Constructor Summary

Constructors
Constructor and Description
`ExecutionConfig(int gridDimX, int blockDimX)`
`ExecutionConfig(int gridDimX, int blockDimX, int sharedMemBytes)` Convenience constructor for setting the number of blocks, number of threads and the shared memory size
`ExecutionConfig(int gridDimX, int gridDimY, int blockDimX, int blockDimY)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static ExecutionConfig`	`getConfigForMatrixOperations(int rlen, int clen)` Use this for simple matrix operations and use following in the kernel `int ix = blockIdx.x * blockDim.x + threadIdx.x; int iy = blockIdx.y * blockDim.y + threadIdx.y;`
`static ExecutionConfig`	`getConfigForSimpleMatrixOperations(int rlen, int clen)` Use this for simple vector operations and use following in the kernel `int index = blockIdx.x * blockDim.x + threadIdx.x`
`static ExecutionConfig`	`getConfigForSimpleVectorOperations(int numCells)` Use this for simple vector operations and use following in the kernel `int index = blockIdx.x * blockDim.x + threadIdx.x`
`String`	`toString()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - gridDimX
```
public int gridDimX
```
  - gridDimY
```
public int gridDimY
```
  - gridDimZ
```
public int gridDimZ
```
  - blockDimX
```
public int blockDimX
```
  - blockDimY
```
public int blockDimY
```
  - blockDimZ
```
public int blockDimZ
```
  - sharedMemBytes
```
public int sharedMemBytes
```
  - stream
```
public jcuda.driver.CUstream stream
```
- Constructor Detail
  - ExecutionConfig
```
public ExecutionConfig(int gridDimX,
                       int blockDimX,
                       int sharedMemBytes)
```
    Convenience constructor for setting the number of blocks, number of threads and the shared memory size
    
    Parameters:
    
    gridDimX - Number of blocks (for CUDA Kernel)
    
    blockDimX - Number of threads per block (for CUDA Kernel)
    
    sharedMemBytes - Amount of Shared memory (for CUDA Kernel)
  - ExecutionConfig
```
public ExecutionConfig(int gridDimX,
                       int blockDimX)
```
  - ExecutionConfig
```
public ExecutionConfig(int gridDimX,
                       int gridDimY,
                       int blockDimX,
                       int blockDimY)
```
- Method Detail
  - getConfigForSimpleVectorOperations
```
public static ExecutionConfig getConfigForSimpleVectorOperations(int numCells)
                                                          throws DMLRuntimeException
```
    Use this for simple vector operations and use following in the kernel int index = blockIdx.x * blockDim.x + threadIdx.x
    This tries to schedule as minimum grids as possible.
    
    Parameters:
    
    numCells - number of cells
    
    Returns:
    
    execution configuration
    
    Throws:
    
    DMLRuntimeException - if DMLRuntimeException occurs
  - getConfigForMatrixOperations
```
public static ExecutionConfig getConfigForMatrixOperations(int rlen,
                                                           int clen)
                                                    throws DMLRuntimeException
```
    Use this for simple matrix operations and use following in the kernel int ix = blockIdx.x * blockDim.x + threadIdx.x; int iy = blockIdx.y * blockDim.y + threadIdx.y;
    This tries to schedule as minimum grids as possible.
    
    Parameters:
    
    rlen - number of rows
    
    clen - number of columns
    
    Returns:
    
    execution configuration
    
    Throws:
    
    DMLRuntimeException - if DMLRuntimeException occurs
  - getConfigForSimpleMatrixOperations
```
public static ExecutionConfig getConfigForSimpleMatrixOperations(int rlen,
                                                                 int clen)
                                                          throws DMLRuntimeException
```
    Use this for simple vector operations and use following in the kernel int index = blockIdx.x * blockDim.x + threadIdx.x
    
    Parameters:
    
    rlen - number of rows
    
    clen - number of columns
    
    Returns:
    
    execution configuration
    
    Throws:
    
    DMLRuntimeException - if DMLRuntimeException occurs
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object

Methods inherited from class java.lang.Object

gridDimX

gridDimY

gridDimZ

blockDimX

blockDimY

blockDimZ

sharedMemBytes

stream

ExecutionConfig

ExecutionConfig

ExecutionConfig

getConfigForSimpleVectorOperations

getConfigForMatrixOperations

getConfigForSimpleMatrixOperations

toString