org.apache.sysds.runtime.instructions.gpu.context

## Class ExecutionConfig

- java.lang.Object
- - org.apache.sysds.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)` Convenience constructor for setting the number of blocks, number of threads and the shared memory size
    `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)` 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, int sharedMemBytes)` Convenience constructor for setting the number of blocks, number of threads and the shared memory size

  - ### Method Summary

    All Methods Static Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `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

      `equals, 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 on the horizontal axis of the grid (for CUDA Kernel)
        `blockDimX` - Number of threads on the horizontal axis of a block (for CUDA Kernel)
        `sharedMemBytes` - Amount of Shared memory (for CUDA Kernel)

    - #### ExecutionConfig

          public ExecutionConfig(int gridDimX,
                                 int blockDimX)

      Convenience constructor for setting the number of blocks, number of threads and the shared memory size
      Parameters:
        `gridDimX` - Number of blocks on the horizontal axis of the grid (for CUDA Kernel)
        `blockDimX` - Number of threads on the horizontal axis of a block (for CUDA Kernel)

    - #### ExecutionConfig

          public ExecutionConfig(int gridDimX,
                                 int gridDimY,
                                 int blockDimX,
                                 int blockDimY)

      Convenience constructor for setting the number of blocks, number of threads and the shared memory size
      Parameters:
        `gridDimX` - Number of blocks on the horizontal axis of the grid (for CUDA Kernel)
        `gridDimY` - Number of blocks on the vertical axis of the grid (for CUDA Kernel)
        `blockDimX` - Number of threads on the horizontal axis of a block (for CUDA Kernel)
        `blockDimY` - Number of threads on the vertical axis of a block (for CUDA Kernel)=

    - #### ExecutionConfig

          public ExecutionConfig(int gridDimX,
                                 int gridDimY,
                                 int blockDimX,
                                 int blockDimY,
                                 int sharedMemBytes)

      Convenience constructor for setting the number of blocks, number of threads and the shared memory size
      Parameters:
        `gridDimX` - Number of blocks on the horizontal axis of the grid (for CUDA Kernel)
        `gridDimY` - Number of blocks on the vertical axis of the grid (for CUDA Kernel)
        `blockDimX` - Number of threads on the horizontal axis of a block (for CUDA Kernel)
        `blockDimY` - Number of threads on the vertical axis of a block (for CUDA Kernel)
        `sharedMemBytes` - Amount of Shared memory (for CUDA Kernel)

  - ### Method Detail

    - #### getConfigForSimpleVectorOperations

          public 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`

      This tries to schedule as minimum grids as possible.

      Parameters:
        `numCells` - number of cells
      Returns:
        execution configuration

    - #### getConfigForSimpleMatrixOperations

          public 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`

      Parameters:
        `rlen` - number of rows
        `clen` - number of columns
      Returns:
        execution configuration

    - #### toString

          public String toString()

      Overrides:
        `toString` in class `Object`

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