cuda-gdb: failed to read the grid index

Accelerated Computing CUDA CUDA Programming and Performance
1

I am trying to get cuda-gdb to break when entering my kernel, but I am getting this error:

Breakpoint 2 at 0x103030c00: file foo.cuda, line 147.

Pending breakpoint 1 - "foo_kernel" resolved

unable to read unknown load command 0x24

unable to read unknown load command 0x26

Reading symbols for shared libraries . done

[Launch of CUDA Kernel 0 (foo_kernel<<<(13,23,1),(8,8,1)>>>) on Device 0]

warning: Got an error handling event: "Error: Failed to read the grid index (dev=0, sm=0, wp=1, error=13).

".

(cuda-gdb)

What is causing this?

2

Which toolkit version are you using? Which driver version? What hardware?

3

CUDA 4.0.19 on OS X Lion Preview. Toolkit is 4.0.17.

Output of deviceQuery:

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

Found 1 CUDA Capable device(s)

Device 0: "GeForce GT 330M"

  CUDA Driver Version / Runtime Version          4.0 / 4.0

  CUDA Capability Major/Minor version number:    1.2

  Total amount of global memory:                 512 MBytes (536543232 bytes)

  ( 6) Multiprocessors x ( 8) CUDA Cores/MP:     48 CUDA Cores

  GPU Clock Speed:                               1.10 GHz

  Memory Clock rate:                             790.00 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: 16384

  Warp size:                                     32

  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:           1 / 0

  Compute Mode:

     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4.0, NumDevs = 1, Device = GeForce GT 330M

[deviceQuery] test results...

PASSED