CUDALINK 符号

CUDAMemoryLoad

CUDAMemoryLoad[list]
registers list into the CUDALink memory manager.

CUDAMemoryLoad[img]
registers img into the CUDALink memory manager.

更多信息

The CUDALink application must be loaded using Needs.

Possible types for are:

Integer	Real	Complex
"Byte"	"Bit16"	"Integer"
"Byte[2]"	"Bit16[2]"	"Integer32[2]"
"Byte[3]"	"Bit16[3]"	"Integer32[3]"
"Byte[4]"	"Bit16[4]"	"Integer32[4]"
"UnsignedByte"	"UnsignedBit16"	"Float"
"UnsignedByte[2]"	"UnsignedBit16[2]"	"Float[2]"
"UnsignedByte[3]"	"UnsignedBit16[3]"	"Float[3]"
"UnsignedByte[4]"	"UnsignedBit16[4]"	"Float[4]"
"Double"	"Double[2]"	"Double[3]"
"Double[4]"

The following options can be given:

	"Device"	$CUDADevice	CUDA device used in computation
	"TargetPrecision"	Automatic	precision used in computation

范例

关闭所有单元

例 (1)

First, load the CUDALink application:

This loads memory:

Information about memory can be retrieved using CUDAMemoryInformation:

Memory added must be freed with CUDAMemoryUnload:

First, load the CUDALink application:

In[1]:=

This loads memory:

In[2]:=

Out[2]=

Information about memory can be retrieved using CUDAMemoryInformation:

In[3]:=

Out[3]=

Memory added must be freed with CUDAMemoryUnload:

In[4]:=

Scope (4)

Adding memory as Real or Complex gets the type based on whether the device supports double precision or not:

In this case, the CUDA device has double-precision support:

The behavior can be forced to change by setting the

:

Memory added must be freed with CUDAMemoryUnload:

Images can be added with type

:

Getting the memory returns an image with the same properties as the original. Memory is retrieved using CUDAMemoryGet:

The

contains the image information:

Memory added must be freed with CUDAMemoryUnload:

Images can be added with specified type:

Getting the memory returns an image:

When adding graphics objects, the object is rasterized:

When getting the memory, an image is returned:

Memory added must be freed with CUDAMemoryUnload:

Options (1)

Adding memory as Real or Complex gets the type based on whether the device supports double precision or not:

This can be overridden by setting the

option to either

or

. In this case, the machine has double-precision hardware, but a

is used because the

is single:

If type is always single precision, then setting the type as

or

may be more readable:

Applications (2)

This adds two to an input list:

Internally, running a CUDAFunction will load and (if the input is not CUDAMemory) will unload the memory. To demonstrate, this color negates an input image:

This loads the function using CUDAFunctionLoad:

This defines input parameters:

This runs the CUDAFunction:

参见

CUDAMemoryLoad CUDAMemoryAllocate CUDAMemoryGet CUDAMemoryUnload CUDAMemoryInformation

教程

CUDALink User Guide

CUDALink Memory

CUDALink Programming