I am trying to run the simpleP2P code sample from Nvidia Code sample site, and am running into an execution error:
simpleP2P.cu(154) : cudaSafeCall() Runtime API error 14: mapping of buffer object failed
The above points to the following line, which enables peer access on GPU#1 -
Following is the result of deviceQuery; well this program works fine on another machine with similar configuration, but a mismatch in the driver version (Machine it doesn’t work - 275.09.04 ---- Machine it works - 270.35).
Device 1: "Tesla M2050" CUDA Driver Version / Runtime Version 4.0 / 4.0 CUDA Capability Major/Minor version number: 2.0 Total amount of global memory: 2687 MBytes (2817982464 bytes) (14) Multiprocessors x (32) CUDA Cores/MP: 448 CUDA Cores GPU Clock Speed: 1.15 GHz Memory Clock rate: 1546.00 Mhz Memory Bus Width: 384-bit L2 Cache Size: 786432 bytes Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65535), 3D=(2048,2048,2048) 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: 65535 x 65535 x 65535 Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and 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 Concurrent kernel execution: Yes Alignment requirement for Surfaces: Yes Device has ECC support enabled: Yes Device is using TCC driver mode: No Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 6 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
What could be the reason?