I installed cuda on a fresh Ubuntu 16.04
Now, i can run a test kernel once, eg deviceQuery. but any subsequent execution will crash the server. So badly that AWS takes many minutes to reboot the server.
I have witnessed this repeated times on repeated fresh installations.
I am at a loss. Any one else able to use P3 servers at the moment? Windows seems to not work at all. Maybe P3 is just broken at the moment.
ubuntu@ip-172-31-6-241:~/NVIDIA_CUDA-9.1_Samples/bin/x86_64/linux/release$ sudo ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "Tesla V100-SXM2-16GB" CUDA Driver Version / Runtime Version 9.1 / 9.1 CUDA Capability Major/Minor version number: 7.0 Total amount of global memory: 16152 MBytes (16936861696 bytes) (80) Multiprocessors, ( 64) CUDA Cores/MP: 5120 CUDA Cores GPU Max Clock rate: 1530 MHz (1.53 GHz) Memory Clock rate: 877 Mhz Memory Bus Width: 4096-bit L2 Cache Size: 6291456 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 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: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 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): (2147483647, 65535, 65535) 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 Supports Cooperative Kernel Launch: Yes Supports MultiDevice Co-op Kernel Launch: Yes Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 30 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 9.1, NumDevs = 1 Result = PASS
[ubuntu@ip-172-31-6-241:~/NVIDIA_CUDA-9.1_Samples/bin/x86_64/linux/release$ sudo ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking)