1 - About

CUDA is a application programming interface (API) created by Nvidia that allows software developers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing in parallel. ie CUDA gives direct access to the GPU's instruction set

CUDA provides both:

  • a low level API (CUDA Driver API, non single-source)
  • and a higher level API (CUDA Runtime API, single-source).

3 - Windows installation

From Doc

3.1 - Prerequisites

3.1.1 - graphic card

  • a supported NVIDIA graphic card
    • Open device manager and check the Display Adapters

3.1.2 - Microsoft Visual Studio

A supported version of Microsoft Visual Studio. See the installation page requirement for the list of supportED product. I have installed Community 2019.

3.2 - Installation

  • Verify that the checksum match with the Nvidai checksum. For 10.1, this was the list. Example with fciv

fciv.exe -add cuda_10.1.105_418.96_win10.exe -md5

// File Checksum Integrity Verifier version 2.05.
25a060d492acbed7c549f65204e14e76 cuda_10.1.105_418.96_win10.exe

  • Install

  • The PATH environment variable was changed with the below path

:: for my installation with home = C:\NvidiaGpuToolkit\CUDA\10.1

3.3 - Verification

3.3.1 - Version

nvcc -V

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:26_Pacific_Standard_Time_2019
Cuda compilation tools, release 10.1, V10.1.105

3.3.2 - Build

  • Create the env $CUDA_PATH that points to the directory given in the Table 4. CUDA to the Visual Studio .props locations. For instance, C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\visual_studio_integration\MSBuildExtensions. You should find in it the file CUDA 10.1.props, If you don't do it, you got a problem with the loading of the proejct due to a bad $(CUDAPropsPath)
  • When opening the solution file Samples_vs2017.sln at the root of the samples, it should take time to load.

  • Go to the deviceQuery Project

  • Change the runtime tool set and the sdk if needed in the project properties (Right Click)

  • Build

  • Test the binary created. The important outcomes are that a device was found, that the device(s) match what is installed in your system, and that the test passed.

cd C:\NvidiaGpuToolkit\CUDA\Samples\10.1\bin\win64\Debug

C:\NvidiaGpuToolkit\CUDA\Samples\10.1\bin\win64\Debug\deviceQuery.exe Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "Quadro M1200"
  CUDA Driver Version / Runtime Version          10.1 / 10.1
  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:                            1148 MHz (1.15 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 4 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 Model)
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            No
  Supports Cooperative Kernel Launch:            No
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1
Result = PASS

4 - Documentation / Reference

Data Science
Data Analysis
Data Science
Linear Algebra Mathematics

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