6.23. Execution Control [DEPRECATED]

This section describes the deprecated execution control functions of the low-level CUDA driver application programming interface.

Functions

CUresult cuFuncSetBlockShape ( CUfunction hfunc, int  x, int  y, int  z )
Sets the block-dimensions for the function.
CUresult cuFuncSetSharedSize ( CUfunction hfunc, unsigned int  bytes )
Sets the dynamic shared-memory size for the function.
CUresult cuLaunch ( CUfunction f )
Launches a CUDA function.
CUresult cuLaunchGrid ( CUfunction f, int  grid_width, int  grid_height )
Launches a CUDA function.
CUresult cuLaunchGridAsync ( CUfunction f, int  grid_width, int  grid_height, CUstream hStream )
Launches a CUDA function.
CUresult cuParamSetSize ( CUfunction hfunc, unsigned int  numbytes )
Sets the parameter size for the function.
CUresult cuParamSetTexRef ( CUfunction hfunc, int  texunit, CUtexref hTexRef )
Adds a texture-reference to the function's argument list.
CUresult cuParamSetf ( CUfunction hfunc, int  offset, float  value )
Adds a floating-point parameter to the function's argument list.
CUresult cuParamSeti ( CUfunction hfunc, int  offset, unsigned int  value )
Adds an integer parameter to the function's argument list.
CUresult cuParamSetv ( CUfunction hfunc, int  offset, void* ptr, unsigned int  numbytes )
Adds arbitrary data to the function's argument list.

Functions

CUresult cuFuncSetBlockShape ( CUfunction hfunc, int  x, int  y, int  z )
Sets the block-dimensions for the function.
Parameters
hfunc
- Kernel to specify dimensions of
x
- X dimension
y
- Y dimension
z
- Z dimension
Deprecated

Description
Specifies the x, y, and z dimensions of the thread blocks that are created when the kernel given by hfunc is launched.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetSharedSize, cuFuncSetCacheConfig, cuFuncGetAttribute, cuParamSetSize, cuParamSeti, cuParamSetf, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuFuncSetSharedSize ( CUfunction hfunc, unsigned int  bytes )
Sets the dynamic shared-memory size for the function.
Parameters
hfunc
- Kernel to specify dynamic shared-memory size for
bytes
- Dynamic shared-memory size per thread in bytes
Deprecated

Description
Sets through bytes the amount of dynamic shared memory that will be available to each thread block when the kernel given by hfunc is launched.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetCacheConfig, cuFuncGetAttribute, cuParamSetSize, cuParamSeti, cuParamSetf, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuLaunch ( CUfunction f )
Launches a CUDA function.
Parameters
f
- Kernel to launch
Deprecated

Description
Invokes the kernel f on a 1 x 1 x 1 grid of blocks. The block contains the number of threads specified by a previous call to cuFuncSetBlockShape().

The block shape, dynamic shared memory size, and parameter information must be set using cuFuncSetBlockShape(), cuFuncSetSharedSize(), cuParamSetSize(), cuParamSeti(), cuParamSetf(), and cuParamSetv() prior to calling this function.

Launching a function via cuLaunchKernel() invalidates the function's block shape, dynamic shared memory size, and parameter information. After launching via cuLaunchKernel, this state must be re-initialized prior to calling this function. Failure to do so results in undefined behavior.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSetf, cuParamSeti, cuParamSetv, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuLaunchGrid ( CUfunction f, int  grid_width, int  grid_height )
Launches a CUDA function.
Parameters
f
- Kernel to launch
grid_width
- Width of grid in blocks
grid_height
- Height of grid in blocks
Deprecated

Description
Invokes the kernel f on a grid_width x grid_height grid of blocks. Each block contains the number of threads specified by a previous call to cuFuncSetBlockShape().

The block shape, dynamic shared memory size, and parameter information must be set using cuFuncSetBlockShape(), cuFuncSetSharedSize(), cuParamSetSize(), cuParamSeti(), cuParamSetf(), and cuParamSetv() prior to calling this function.

Launching a function via cuLaunchKernel() invalidates the function's block shape, dynamic shared memory size, and parameter information. After launching via cuLaunchKernel, this state must be re-initialized prior to calling this function. Failure to do so results in undefined behavior.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSetf, cuParamSeti, cuParamSetv, cuLaunch, cuLaunchGridAsync, cuLaunchKernel

CUresult cuLaunchGridAsync ( CUfunction f, int  grid_width, int  grid_height, CUstream hStream )
Launches a CUDA function.
Parameters
f
- Kernel to launch
grid_width
- Width of grid in blocks
grid_height
- Height of grid in blocks
hStream
- Stream identifier
Deprecated

Description
Invokes the kernel f on a grid_width x grid_height grid of blocks. Each block contains the number of threads specified by a previous call to cuFuncSetBlockShape().

The block shape, dynamic shared memory size, and parameter information must be set using cuFuncSetBlockShape(), cuFuncSetSharedSize(), cuParamSetSize(), cuParamSeti(), cuParamSetf(), and cuParamSetv() prior to calling this function.

Launching a function via cuLaunchKernel() invalidates the function's block shape, dynamic shared memory size, and parameter information. After launching via cuLaunchKernel, this state must be re-initialized prior to calling this function. Failure to do so results in undefined behavior.

Note:
  • In certain cases where cubins are created with no ABI (i.e., using ptxas--abi-compileno), this function may serialize kernel launches. The CUDA driver retains asynchronous behavior by growing the per-thread stack as needed per launch and not shrinking it afterwards.

  • This function uses standard default stream semantics.

  • Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSetf, cuParamSeti, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchKernel

CUresult cuParamSetSize ( CUfunction hfunc, unsigned int  numbytes )
Sets the parameter size for the function.
Parameters
hfunc
- Kernel to set parameter size for
numbytes
- Size of parameter list in bytes
Deprecated

Description
Sets through numbytes the total size in bytes needed by the function parameters of the kernel corresponding to hfunc.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetf, cuParamSeti, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuParamSetTexRef ( CUfunction hfunc, int  texunit, CUtexref hTexRef )
Adds a texture-reference to the function's argument list.
Parameters
hfunc
- Kernel to add texture-reference to
texunit
- Texture unit (must be CU_PARAM_TR_DEFAULT)
hTexRef
- Texture-reference to add to argument list
Deprecated

Description
Makes the CUDA array or linear memory bound to the texture reference hTexRef available to a device program as a texture. In this version of CUDA, the texture-reference must be obtained via cuModuleGetTexRef() and the texunit parameter must be set to CU_PARAM_TR_DEFAULT.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

CUresult cuParamSetf ( CUfunction hfunc, int  offset, float  value )
Adds a floating-point parameter to the function's argument list.
Parameters
hfunc
- Kernel to add parameter to
offset
- Offset to add parameter to argument list
value
- Value of parameter
Deprecated

Description
Sets a floating-point parameter that will be specified the next time the kernel corresponding to hfunc will be invoked. offset is a byte offset.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSeti, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuParamSeti ( CUfunction hfunc, int  offset, unsigned int  value )
Adds an integer parameter to the function's argument list.
Parameters
hfunc
- Kernel to add parameter to
offset
- Offset to add parameter to argument list
value
- Value of parameter
Deprecated

Description
Sets an integer parameter that will be specified the next time the kernel corresponding to hfunc will be invoked. offset is a byte offset.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSetf, cuParamSetv, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel

CUresult cuParamSetv ( CUfunction hfunc, int  offset, void* ptr, unsigned int  numbytes )
Adds arbitrary data to the function's argument list.
Parameters
hfunc
- Kernel to add data to
offset
- Offset to add data to argument list
ptr
- Pointer to arbitrary data
numbytes
- Size of data to copy in bytes
Deprecated

Description
Copies an arbitrary amount of data (specified in numbytes) from ptr into the parameter space of the kernel corresponding to hfunc. offset is a byte offset.

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cuFuncSetBlockShape, cuFuncSetSharedSize, cuFuncGetAttribute, cuParamSetSize, cuParamSetf, cuParamSeti, cuLaunch, cuLaunchGrid, cuLaunchGridAsync, cuLaunchKernel