Google
 
Web unafbapune.blogspot.com

Saturday, February 23, 2013

 

CUDA-5.0 deviceQuery on GeForce 320M

$ /Developer/NVIDIA/CUDA-5.0/samples/bin/darwin/release/deviceQuery

/Developer/NVIDIA/CUDA-5.0/samples/bin/darwin/release//deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "GeForce 320M"
  CUDA Driver Version / Runtime Version          5.0 / 5.0
  CUDA Capability Major/Minor version number:    1.2
  Total amount of global memory:                 253 MBytes (265027584 bytes)
  ( 6) Multiprocessors x (  8) CUDA Cores/MP:    48 CUDA Cores
  GPU Clock rate:                                950 MHz (0.95 GHz)
  Memory Clock rate:                             1064 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 multiprocessor:  1024
  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 kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            Yes
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      No
  Device PCI Bus ID / PCI location ID:           0 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.0, CUDA Runtime Version = 5.0, NumDevs = 1, Device0 = GeForce 320M

Some Installation Notes

== Installing MPICH2 ==
http://www.underworldproject.org/documentation/MpichDownload.html#What_is_MPICH_and_do_I_need_to_i
http://stackoverflow.com/questions/13157260/having-open-mpi-related-issues-while-making-cuda-5-0-samples-mac-os-x-ml
./configure --enable-shared --enable-sharedlibs=osx-gcc --enable-fast=all --prefix=/usr/local/mpich2-optimized --disable-f77 --disable-fc make sudo make install sudo ln -s /usr/local/mpich2-optimized/mpicxx /usr/bin/mpicxx sudo ln -s /usr/local/mpich2-optimized/mpic++ /usr/bin/mpic++ == output message == "Installed SLOG2SDK in /usr/local/mpich2-optimized /usr/local/mpich2-optimized/sbin/mpeuninstall may be used to remove the installation Installed MPE2 in /usr/local/mpich2-optimized /usr/local/mpich2-optimized/sbin/mpeuninstall may be used to remove the installation"
== Verifying CUDA-5.0 installation == https://developer.nvidia.com/cuda-downloads?sid=229597
cd /Developer/NVIDIA/CUDA-5.0/samples export PATH=/usr/local/mpich2-optimized/bin:$PATH make clean # Note all sample built succesfully except "simpleSeparateCompilation" which I needed to move away for the rest to build make

Comments: Post a Comment

<< Home

This page is powered by Blogger. Isn't yours?