Mathematica 9 is now available
THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT.
SEE THE DOCUMENTATION CENTER FOR THE LATEST INFORMATION.
Wolfram Mathematica Documentation Center
DOCUMENTATION CENTER SEARCH
New to Mathematica? Find your learning path »
Mathematica >
CUDALINK 符号教程 »|参见 »

CUDAMemoryAllocate


gives CUDAMemory with specified type and single dimension.

gives CUDAMemory with specified type and dimensions.
更多信息
  • The CUDALink application must be loaded using Needs.
  • Possible types for are:
IntegerRealComplex
"Byte""Bit16""Integer32"
"Byte[2]""Bit16[2]""Integer32[2]"
"Byte[3]""Bit16[3]""Integer32[3]"
"Byte[4]""Bit16[4]""Integer32[4]"
"UnsignedByte""UnsignedBit16""UnsignedInteger"
"UnsignedByte[2]""UnsignedBit16[2]""UnsignedInteger[2]"
"UnsignedByte[3]""UnsignedBit16[3]""UnsignedInteger[3]"
"UnsignedByte[4]""UnsignedBit16[4]""UnsignedInteger[4]"
"Double""Float""Integer64"
"Double[2]""Float[2]""Integer64[2]"
"Double[3]""Float[3]""Integer64[3]"
"Double[4]""Float[4]""Integer64[4]"
  • The following options can be given:
"Device"$CUDADeviceCUDA device used in computation
"TargetPrecision"Automaticprecision used in computation
范例关闭所有单元
例   (4)
First, load the CUDALink application:
This allocates a rank 3 tensor with each dimension 10:
Information about memory can be retrieved via CUDAMemoryInformation:
This unloads the memory:
For a single dimension, the length can be an integer:
Link CUDAMemoryLoad; different types are supported:
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 :
First, load the CUDALink application:
In[1]:=
Click for copyable input
This allocates a rank 3 tensor with each dimension 10:
In[2]:=
Click for copyable input
Out[2]=
Information about memory can be retrieved via CUDAMemoryInformation:
In[3]:=
Click for copyable input
Out[3]=
This unloads the memory:
In[4]:=
Click for copyable input
 
For a single dimension, the length can be an integer:
In[1]:=
Click for copyable input
Out[1]=
 
Link CUDAMemoryLoad; different types are supported:
In[1]:=
Click for copyable input
Out[1]=
 
Adding memory as Real or Complex gets the type based on whether the device supports double precision or not:
In[1]:=
Click for copyable input
Out[1]=
In this case, the CUDA device has double-precision support:
In[2]:=
Click for copyable input
Out[2]=
The behavior can be forced to change by setting the :
In[3]:=
Click for copyable input
Out[3]=
Applications   (1)
This sets all elements in a list to 0:
This allocates the required memory:
This loads the function:
This runs the function:
This shows information about the memory; note that the is :
This gets the memory from the GPU:
This shows information about the memory; note that the and are :
Possible Issues   (1)
Getting memory from the GPU for unset allocated memory returns random results:
Ask a question about this page  |  Suggest an improvement  |  Leave a message for the team
格式:   HTML  |  CDF