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gpu01.txt

Guest on 13th January 2022 08:23:15 PM

  1. Pseudo-terminal will not be allocated because stdin is not a terminal. Warning: Permanently added 'gpu01,10.30.10.41' (RSA) to the list of known hosts. Fri Oct 3 12:09:59 BST 2014 libs/nvidia-cuda/5.5.22/bin | OK /usr/local/bin/deviceQuery Starting... CUDA Device Query (Runtime API)
  2. version (CUDART static linking) Detected 2 CUDA Capable device(s) Device 0: "Tesla M2050" CUDA Driver Version / Runtime Version 5.5 / 5.5 CUDA Capability Major/Minor version number: 2.0
  3.  Total amount of global memory: 2687 MBytes (2817982464 bytes) (14) Multiprocessors, ( 32) CUDA Cores/MP: 448 CUDA Cores GPU Clock rate: 1147 MHz (1.15 GHz)
  4.  Memory Clock rate: 1546 Mhz Memory Bus Width: 384-bit L2 Cache Size: 786432 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
  5. Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers 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 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
  6. Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: No Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Enabled Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 13 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > Device 1: "Tesla M2050" CUDA Driver Version / Runtime Version 5.5 / 5.5 CUDA Capability Major/Minor version number: 2.0 Total amount of global memory: 2687 MBytes (2817982464 bytes) (14) Multiprocessors, ( 32) CUDA Cores/MP: 448 CUDA Cores GPU Clock rate: 1147 MHz (1.15 GHz) Memory Clock rate: 1546 Mhz Memory Bus Width: 384-bit L2 Cache Size: 786432 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes
  7. 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
  8.  Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  9. Max dimension size of a grid size (x,y,z): (65535, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s)
  10. Run time limit on kernels: No Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Enabled Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 11 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > > Peer access from Tesla M2050 (GPU0) -> Tesla M2050 (GPU1) : Yes > Peer access from Tesla M2050 (GPU1) -> Tesla M2050 (GPU0) : Yes deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.5,
  11. CUDA Runtime Version = 5.5, NumDevs = 2, Device0 = Tesla M2050, Device1 = Tesla M2050 Result = PASS

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