In newer versions of the toolkit the CUDA library is included with the graphics driver – be sure that the driver version matches what is needed by the CUDA runtime version. It might be necessary to set CUDA_TOOLKIT_ROOT_DIR manually on certain platforms, or to use a CUDA runtime not installed in the default location. dev_array.h) and including it in your main block by adding the class as a regular one, typing #include in the declaration part.ĬUDA Device Query (Runtime API) version (CUDART static linking) cudaGetDeviceCount returned 35 -> CUDA driver version is insufficient for CUDA runtime version Result = FAIL これは、CUDA driverのバージョンが低いとこうなってしまう。 The following additional packages will be installed: cuda-9-2 cuda-demo-suite-9-2 cuda-drivers cuda-runtime-9-2 libcuda1-396 nvidia-396 nvidia-396-dev nvidia-opencl-icd-396 The following packages will be REMOVED: nvidia-384 nvidia-384-dev The following NEW packages will be installed: cuda cuda-9-2 cuda-demo-suite-9-2 cuda-drivers cuda-runtime-9.
#NVIDIA CUDA DRIVER FOR MAC CODE#
Now you can use it simply by copying the following code in a source file and giving it the extension ".h" (e.g. GPU0 GPU1 GPU2 CPU Affinity GPU0 X PHB SYS -13,28-41 GPU1 PHB X SYS -13,28-41 GPU2 SYS SYS X 14-27,42-55 Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI) NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges.
#NVIDIA CUDA DRIVER FOR MAC SOFTWARE#
The CUDA software stack is composed of several layers as illustrated in Figure 1-3: a hardware driver, an application programming interface (API) and its runtime, and two higher-level mathematical libraries of common usage, CUFFT and CUBLAS CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device (s) Device 0: "GeForce GTX 1050" CUDA Driver Version / Runtime Version 8.0 / 8.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 4041 MBytes (4237426688 bytes) (5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores GPU.
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