Programming/openCL & CUDA2012. 4. 23. 00:01

C:\ProgramData\NVIDIA Corporation\NVIDIA GPU Computing SDK 4.2\C\bin\win32\Release>deviceQuery.exe
[deviceQuery.exe] starting...

deviceQuery.exe Starting...

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

Found 1 CUDA Capable device(s)

Device 0: "GeForce 8800 GT"
  CUDA Driver Version / Runtime Version          4.2 / 4.2
  CUDA Capability Major/Minor version number:    1.1
  Total amount of global memory:                 512 MBytes (536870912 bytes)
  (14) Multiprocessors x (  8) CUDA Cores/MP:    112 CUDA Cores
  GPU Clock rate:                                1500 MHz (1.50 GHz)
  Memory Clock rate:                             900 Mhz
  Memory Bus Width:                              256-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:           2 / 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 = 1, Device = GeForce 8800 GT
[deviceQuery.exe] test results...
PASSED

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

MP당 쓰레드가 768 이라면
1개의 MP에는 8개의 cuda core가 있고
1개의 cuda core에는 그럼 96개의 쓰레드가 존재하는건가?
32 Warp x 3 인것 같기도 하고 그러면 1개의 core에서는 3개의 warp 가능?

아.. 모르겠다 ㅠ.ㅠ 

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