Macos 在Mac OS X 10.7.4上使用OpenCL禁用Nvidia看门狗

我有一个OpenCL程序，它可以很好地处理小问题，但是当运行较大的问题时，超过了在Nvidia硬件上运行内核的8-10秒时间限制。虽然我在Nvidia GTX580上计算的GPU上没有连接监视器，但内核在运行大约8-10秒后将始终终止

我对这个问题做的初步研究表明，如果监视器连接到图形卡，英伟达看门狗应该只执行时限。然而，我没有任何监视器连接到OpenCl运行的GPU，但这个限制仍然是强制的

是否可以禁用英伟达看门狗或让驱动程序识别在Mac OS X7.7.4？

中没有监视器连接到GTX580上？ 我知道解决这个问题的一个可能的方法是将其分解成更小的内核，但是由于我工作的性质，当我使用更细粒度时，我仍然可以达到这个极限

我正在编译/运行的系统如下所示：

MacPro4,1 2 x 2.26 GHz四核Intel Xeon Mac OS X 10.7.4 代码4.3.3 连接Nvidia GT120 2监视器 NVidia GTX580未附带任何内容 <>对于运行英伟达设备查询时的额外信息，我得到以下输出：

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

Found 2 CUDA Capable device(s)

Device 0: "GeForce GTX 580"
  CUDA Driver Version / Runtime Version          4.2 / 4.2
  CUDA Capability Major/Minor version number:    2.0
  Total amount of global memory:                 1536 MBytes (1610285056 bytes)
  (16) Multiprocessors x ( 32) CUDA Cores/MP:    512 CUDA Cores
  GPU Clock rate:                                1564 MHz (1.56 GHz)
  Memory Clock rate:                             2004 Mhz
  Memory Bus Width:                              384-bit
  L2 Cache Size:                                 786432 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 multiprocessor:  1536
  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:                     Yes
  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:           6 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

Device 1: "GeForce GT 120"
  CUDA Driver Version / Runtime Version          4.2 / 4.2
  CUDA Capability Major/Minor version number:    1.1
  Total amount of global memory:                 512 MBytes (536543232 bytes)
  ( 4) Multiprocessors x (  8) CUDA Cores/MP:    32 CUDA Cores
  GPU Clock rate:                                1400 MHz (1.40 GHz)
  Memory Clock rate:                             800 Mhz
  Memory Bus Width:                              128-bit
  Max Texture Dimension Size (x,y,z)             1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048)
  Max Layered Texture Size (dim) x layers        1D=(8192) x 512, 2D=(8192,8192) x 512
  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
  Maximum sizes of each dimension of a block:    512 x 512 x 64
  Maximum sizes of each dimension of a grid:     65535 x 65535 x 1
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             256 bytes
  Concurrent copy and 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
  Concurrent kernel execution:                   No
  Alignment requirement for Surfaces:            Yes
  Device has ECC support enabled:                No
  Device is using TCC driver mode:               No
  Device supports Unified Addressing (UVA):      No
  Device PCI Bus ID / PCI location ID:           5 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.2, CUDA Runtime Version = 4.2, NumDevs = 2, Device = GeForce GTX 580, Device = GeForce GT 120
[deviceQuery] test results...
PASSED

> exiting in 3 seconds: 3...2...1...done!

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您是否检查了Console.app中的消息？当你的内核被终止时，有什么东西贴在那里吗？@console.app中的Kentzo我得到NVDACompute:channelexception！异常类型=0x8=FiFo:看门狗超时错误听起来像个bug。你试过在苹果开发者论坛上问这个问题吗？@kentzo：这不是一个bug，这是预期的行为。所有显示驱动程序都包含一个看门狗，用于阻止恶意着色器或计算作业暂停gpu并锁定gui。Linux和Windows完全相同。我知道没有关于显示GPU的解决方法。我想这已经得到了回答。请参见此处：您是否检查了Console.app中的消息？当你的内核被终止时，有什么东西贴在那里吗？@console.app中的Kentzo我得到NVDACompute:channelexception！异常类型=0x8=FiFo:看门狗超时错误听起来像个bug。你试过在苹果开发者论坛上问这个问题吗？@kentzo：这不是一个bug，这是预期的行为。所有显示驱动程序都包含一个看门狗，用于阻止恶意着色器或计算作业暂停gpu并锁定gui。Linux和Windows完全相同。我知道没有关于显示GPU的解决方法。我想这已经得到了回答。请看这里：