Ubuntu 24.04
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NVIDIA : CUDA 12.0 : स्थापित करें2024/06/21

 

NVIDIA द्वारा प्रदान किया गया GPU कंप्यूटिंग प्लेटफ़ॉर्म (GPGPU (General-Purpose computing on Graphics Processing Units)), CUDA (Compute Unified Device Architecture) स्थापित करें।

CUDA का उपयोग करने के लिए, आपके कंप्यूटर में NVIDIA ग्राफ़िक कार्ड होना आवश्यक है और वे CUDA-सक्षम उत्पाद भी हैं।
नीचे दी गई साइट पर विवरण सुनिश्चित करें। (अधिकांश उत्पाद पिछले कुछ वर्षों में तैयार हुए हैं)
⇒ https://developer.nvidia.com/cuda-gpus

[1]

अपने ग्राफ़िक कार्ड के लिए NVIDIA ग्राफ़िक ड्राइवर स्थापित करें, यहां देखें।

[2] CUDA 12.0 स्थापित करें जो Ubuntu 24.04 आधिकारिक रिपॉजिटरी से प्रदान किया गया है।
root@dlp:~#
apt -y install nvidia-cuda-toolkit
root@dlp:~#
nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Jan__6_16:45:21_PST_2023
Cuda compilation tools, release 12.0, V12.0.140
Build cuda_12.0.r12.0/compiler.32267302_0
[3] नमूना प्रोग्राम चलाने के लिए किसी सामान्य उपयोगकर्ता के साथ इंस्टॉलेशन सत्यापित करें।
# नमूने कॉपी करें

ubuntu@dlp:~$
git clone https://github.com/NVIDIA/cuda-samples.git

ubuntu@dlp:~$
cd ./cuda-samples/Samples/1_Utilities/deviceQuery
ubuntu@dlp:~/cuda-sample/1_Utilities/deviceQuery$
vi Makefile
# पंक्ति 35 : परिवर्तन

CUDA_PATH?=
/usr
# deviceQuery नमूना संकलित करें

ubuntu@dlp:~/cuda-sample/1_Utilities/deviceQuery$
make
# deviceQuery नमूना चलाएँ

ubuntu@dlp:~/cuda-sample/1_Utilities/deviceQuery$
./deviceQuery

./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA GeForce RTX 3060"
  CUDA Driver Version / Runtime Version          12.4 / 12.0
  CUDA Capability Major/Minor version number:    8.6
  Total amount of global memory:                 12037 MBytes (12622168064 bytes)
  (028) Multiprocessors, (128) CUDA Cores/MP:    3584 CUDA Cores
  GPU Max Clock rate:                            1777 MHz (1.78 GHz)
  Memory Clock rate:                             7501 Mhz
  Memory Bus Width:                              192-bit
  L2 Cache Size:                                 2359296 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 shared memory per multiprocessor:        102400 bytes
  Total number of registers available per block: 65536
  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): (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:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Device supports Managed Memory:                Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 5 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 12.4, CUDA Runtime Version = 12.0, NumDevs = 1
Result = PASS

# bandwidthTest नमूना चलाने का प्रयास करें

ubuntu@dlp:~$
cd ~/cuda-samples/Samples/1_Utilities/bandwidthTest
ubuntu@dlp:~/cuda-sample/1_Utilities/bandwidthTest$
vi Makefile
# पंक्ति 35 : परिवर्तन

CUDA_PATH?=
/usr
ubuntu@dlp:~/cuda-sample/1_Utilities/bandwidthTest$
make

ubuntu@dlp:~/cuda-sample/1_Utilities/bandwidthTest$
./bandwidthTest

[CUDA Bandwidth Test] - Starting...
[CUDA Bandwidth Test] - Starting...
Running on...

 Device 0: NVIDIA GeForce RTX 3060
 Quick Mode

 Host to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     11.0

 Device to Host Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     10.3

 Device to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     318.6

Result = PASS

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
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