Hi There!
Chat support told me to post this since they could not help.
Just bough a new Lenovo Y50 laptop with a GTX 960M graphics adapter. I have problems installing CUDA properly.
Symptoms:
- Windows 8.1 64 bit.
- Device manager shows two graphic adapters: NVidia GTX 960M and Intel HD Graphics 4600. Both running properly according to device manager.
- In “Manage 3D Settings” - global settings to use Nvidia performance processor (instead of auto-select).
- Did all windows updates.
- Installing GPU driver rev. 350.12 with no issues.
- When running the CUDA 7 installer it tells me that “This graphics driver could not find compatible graphics hardware. You may continue installation but you will not be able to run CUDA applications.”
- Running same installer on another laptop with GT 755M - installation recognizes graphics adapter with no problems.
- Chatting with CUDA chat support:
First supporter told me that I need to install visual studio first. Did that. Did not help.
Second supporter told me to install anyway and send him the report of two checks: DeviceQuery.exe and BandwidthTest.txt
Resutls below:
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v7.0\bin\win64\Debug>deviceQuery.
exe
deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 960M"
CUDA Driver Version / Runtime Version 7.0 / 7.0
CUDA Capability Major/Minor version number: 5.0
Total amount of global memory: 4096 MBytes (4294967296 bytes)
( 5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores
GPU Max Clock rate: 1176 MHz (1.18 GHz)
Memory Clock rate: 2505 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 2097152 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536),
3D=(4096, 4096, 4096)
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: 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 1 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
CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Mo
del)
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simu
ltaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA Runtime Versi
on = 7.0, NumDevs = 1, Device0 = GeForce GTX 960M
Result = PASS
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v7.0\bin\win64\Debug>
And
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v7.0\bin\win64\Debug>bandwidthTes
t.exe
[CUDA Bandwidth Test] - Starting...
Running on...
Device 0: GeForce GTX 960M
Quick Mode
Host to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 12346.6
Device to Host Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 310303040.0
Device to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 67660.2
Result = PASS
NOTE: The CUDA Samples are not meant for performance measurements. Results may v
ary when GPU Boost is enabled.
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v7.0\bin\win64\Debug>
Any suggestions on how to solve this “compatible hardware not found” issue? Could this be that the graphics card is new and the CUDA installer does not include its VID/PID in its supported hardware list?
Suggestions please.
Thanks in advance.