Hello, Im very new to CUDA and having problems with the samples, Im using 4 Tesla C2075 and 1 Quadro 4000, driver version is 390.87 and running CUDA 9.1 on ubuntu 16.04. The samples pops up a window screen very quick and close
Fortunaly the deviceQuery is running, here is the output:
./deviceQuery Starting…
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 5 CUDA Capable device(s)
Device 0: “Tesla C2075”
CUDA Driver Version / Runtime Version 9.1 / 9.1
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 6067 MBytes (6361841664 bytes)
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
(14) Multiprocessors, ( 64) CUDA Cores/MP: 896 CUDA Cores
GPU Max Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 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
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)
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: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 8 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 1: “Quadro 4000”
CUDA Driver Version / Runtime Version 9.1 / 9.1
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 1985 MBytes (2081619968 bytes)
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
( 8) Multiprocessors, ( 64) CUDA Cores/MP: 512 CUDA Cores
GPU Max Clock rate: 950 MHz (0.95 GHz)
Memory Clock rate: 1404 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 524288 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
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)
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: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 5 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 2: “Tesla C2075”
CUDA Driver Version / Runtime Version 9.1 / 9.1
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 6067 MBytes (6361841664 bytes)
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
(14) Multiprocessors, ( 64) CUDA Cores/MP: 896 CUDA Cores
GPU Max Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 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
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)
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: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 9 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 3: “Tesla C2075”
CUDA Driver Version / Runtime Version 9.1 / 9.1
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 6067 MBytes (6361841664 bytes)
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
(14) Multiprocessors, ( 64) CUDA Cores/MP: 896 CUDA Cores
GPU Max Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 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
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)
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: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 10 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 4: “Tesla C2075”
CUDA Driver Version / Runtime Version 9.1 / 9.1
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 6067 MBytes (6361841664 bytes)
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
MapSMtoCores for SM 2.0 is undefined. Default to use 64 Cores/SM
(14) Multiprocessors, ( 64) CUDA Cores/MP: 896 CUDA Cores
GPU Max Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 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
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)
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: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 11 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Peer access from Tesla C2075 (GPU0) → Quadro 4000 (GPU1) : Yes
Peer access from Tesla C2075 (GPU0) → Tesla C2075 (GPU2) : Yes
Peer access from Tesla C2075 (GPU0) → Tesla C2075 (GPU3) : Yes
Peer access from Tesla C2075 (GPU0) → Tesla C2075 (GPU4) : Yes
Peer access from Quadro 4000 (GPU1) → Tesla C2075 (GPU0) : Yes
Peer access from Quadro 4000 (GPU1) → Tesla C2075 (GPU2) : Yes
Peer access from Quadro 4000 (GPU1) → Tesla C2075 (GPU3) : Yes
Peer access from Quadro 4000 (GPU1) → Tesla C2075 (GPU4) : Yes
Peer access from Tesla C2075 (GPU2) → Tesla C2075 (GPU0) : Yes
Peer access from Tesla C2075 (GPU2) → Quadro 4000 (GPU1) : Yes
Peer access from Tesla C2075 (GPU2) → Tesla C2075 (GPU3) : Yes
Peer access from Tesla C2075 (GPU2) → Tesla C2075 (GPU4) : Yes
Peer access from Tesla C2075 (GPU3) → Tesla C2075 (GPU0) : Yes
Peer access from Tesla C2075 (GPU3) → Quadro 4000 (GPU1) : Yes
Peer access from Tesla C2075 (GPU3) → Tesla C2075 (GPU2) : Yes
Peer access from Tesla C2075 (GPU3) → Tesla C2075 (GPU4) : Yes
Peer access from Tesla C2075 (GPU4) → Tesla C2075 (GPU0) : Yes
Peer access from Tesla C2075 (GPU4) → Quadro 4000 (GPU1) : Yes
Peer access from Tesla C2075 (GPU4) → Tesla C2075 (GPU2) : Yes
Peer access from Tesla C2075 (GPU4) → Tesla C2075 (GPU3) : Yes
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 9.1, NumDevs = 5
Result = PASS
I was able to run “simpleGL” version, but it was just a red point in a black environment, anyone know why i cant run the samples and how to solve?