Kinect Fusion on Jetson TK1

Trying to run KinectFusionLib on Jetson TK1 board and getting runtime error:

OpenCV Error: Gpu API call (too many resources requested for launch) in pyrDown_caller, file /hdd/buildbot/slave_jetson_tk1_1/32-O4T-L4T/opencv/modules/gpu/src/cuda/, line 184

pyrDown called inside:

input_frame is 320x240 (also tried smaller frames)

OpenCV4Tegra 2.4.13 ; CUDA 6.5

CUDA_NVCC_FLAGS -O3 -std=c++11 -v -DEIGEN_MAX_CPP_VER=03 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_32,code=sm_32 --target-cpu-architecture ARM  -D__CUDACC_RELAXED_CONSTEXPR__ -D__CUDACC_VER_MAJOR__=6 -D__CUDACC_VER_MINOR__=5 -D__CUDACC_VER__=60500

Device 0: "GK20A"
  CUDA Driver Version / Runtime Version          6.50 / 6.50
  CUDA Capability Major/Minor version number:    3.2
  Total amount of global memory:                 1892 MBytes (1984385024 bytes)
  GPU Clock Speed:                               0.85 GHz
  Max Texture Dimension Size (x,y,z)             1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096)
  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:     2147483647 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:            Yes
  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:           0 / 0
  Compute Mode:
      Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) 

Any ideas how to debug that issue?