Question

安装新的CUDA 4.0驱动程序和SDK后，许多SDK测试失败（例如fastWalshTransform, matrixMul, reduction）。这是./deviceQuery：

Device 0: "GeForce GTX 570"
  CUDA Driver Version / Runtime Version          4.0 / 4.0
  CUDA Capability Major/Minor version number:    2.0
  Total amount of global memory:                 1279 MBytes (1341325312 bytes)
  (15) Multiprocessors x (32) CUDA Cores/MP:     480 CUDA Cores
  GPU Clock Speed:                               1.57 GHz
  Memory Clock rate:                             2100.00 Mhz
  Memory Bus Width:                              320-bit
  L2 Cache Size:                                 655360 bytes
  Max Texture Dimension Size (x,y,z)             1D=(65536), 2D=(65536,65535), 3D=(2048,2048,2048)
  Max Layered Texture Size (dim) x layers        1D=(16384) x 2048, 2D=(16384,16384) x 2048
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 32768
  Warp size:                                     32
  Maximum number of threads per block:           1024
  Maximum sizes of each dimension of a block:    1024 x 1024 x 64
  Maximum sizes of each dimension of a grid:     65535 x 65535 x 65535
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and execution:                 Yes with 1 copy engine(s)
  Run time limit on kernels:                     No
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Concurrent kernel execution:                   Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support enabled:                No
  Device is using TCC driver mode:               No
  Device supports Unified Addressing (UVA):      Yes
  Device PCI Bus ID / PCI location ID:           4 / 0

E.g。 reduction的输出是：

GPU结果= 2135772699
CPU结果= 2139353471

=＆GT; FAILED。

解决方案：这是（现在仍然是）硬件问题（驱动程序更新无法解决问题）。也许是一些记忆问题，但很常见。我们有几张显示该问题的NVIDIA显卡（甚至是特斯拉！）。到目前为止，我们发现的唯一解决方案是重新启动机器或稍微增加电压。

Answer 1

它（现在仍然是）硬件问题（驱动程序更新无法解决问题）。也许是一些记忆问题，但很常见。我们有几张显示该问题的NVIDIA显卡（甚至是特斯拉！）。到目前为止，我们发现的唯一解决方案是重新启动机器或稍微增加电压。

许多CUDA示例都失败了

1 个答案: