Cuda汇编的例子

时间:2014-12-05 16:33:11

标签: c++ cuda

我在Windows 7 Pro 32上安装了NVIDIA GeForce 8500 GT,我在CUDAC中的项目有问题。我已经安装了所有软件包和VS2012 Pro。我正在为Cuda 6.5的模板创建新项目...编译它和.." 无效的设备功能" 。 从Geting Started Windows PDF我已经读过我可以通过deviceQuery.exe chceck CUDA ..所以我这样做了:

deviceQuery.exe Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce 8500 GT"
  CUDA Driver Version / Runtime Version          6.5 / 6.5
  CUDA Capability Major/Minor version number:    1.1
  Total amount of global memory:                 512 MBytes (536870912 bytes)
  ( 2) Multiprocessors, (  8) CUDA Cores/MP:     16 CUDA Cores
  GPU Clock rate:                                1570 MHz (1.57 GHz)
  Memory Clock rate:                             400 Mhz
  Memory Bus Width:                              128-bit
  Maximum Texture Dimension Size (x,y,z)         1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
  Maximum Layered 1D Texture Size, (num) layers  1D=(8192), 512 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(8192, 8192), 512 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       16384 bytes
  Total number of registers available per block: 8192
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  768
  Maximum number of threads per block:           512
  Max dimension size of a thread block (x,y,z): (512, 512, 64)
  Max dimension size of a grid size    (x,y,z): (65535, 65535, 1)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             256 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      No
  Device PCI Bus ID / PCI location ID:           1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce 8500 GT
Result = PASS

所以通过!!!那是什么错......?接下来我做了bandwidthTest

[CUDA Bandwidth Test] - Starting...
Running on...

 Device 0: GeForce 8500 GT
 Quick Mode

 Host to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)    Bandwidth(MB/s)
   33554432         1346.5

 Device to Host Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)    Bandwidth(MB/s)
   33554432         1556.9

 Device to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)    Bandwidth(MB/s)
   33554432         5857.4

Result = PASS

enybode可以帮助我吗?

1 个答案:

答案 0 :(得分:2)

无效的设备功能通常意味着代码编译时的架构高于您尝试运行它的GPU。

GPU架构包含在您的打印输出中:

  CUDA Capability Major/Minor version number:    1.1

CUDA 6.5默认编译为cc2.0架构。如果要编译cc 1.1体系结构,则需要将特定的开关传递给nvcc编译命令才能执行此操作。

这通常意味着在项目属性的Visual Studio设备配置选项卡中添加compute_11,sm_11之类的内容。

当您这样做时,您将收到警告(在CUDA 6.5下),不建议使用设备架构1.1。但是,您仍然可以编译并定位此体系结构。

即使这个问题与Windows相关,Linux上也存在同样的必要性。如果在linux上使用CUDA 6.5,则默认编译目标是cc2.0。要编译早期的设备,有必要在编译命令行中添加一些内容,如-arch=sm_11