GPU-programming-basics

所属分类:GPU/显卡
开发工具:Jupyter Notebook
文件大小:3619KB
下载次数:0
上传日期:2023-05-17 06:16:55
上 传 者sh-1993
说明:  GPU编程基础,,
(GPU-programming-basics,,)

文件列表:
1_Introduction.ipynb (28202, 2023-05-17)
codes (0, 2023-05-17)
codes\1_introduction (0, 2023-05-17)
codes\1_introduction\error_handling.cu (1716, 2023-05-17)
codes\1_introduction\grid-stride.cu (1273, 2023-05-17)
codes\1_introduction\hello.cu (610, 2023-05-17)
codes\1_introduction\matrix_multiplication.cu (2960, 2023-05-17)
codes\1_introduction\memory_allocation.cu (1265, 2023-05-17)
codes\1_introduction\template.cu (1099, 2023-05-17)
codes\1_introduction\thermal_conductivity.cu (3858, 2023-05-17)
codes\1_introduction\threads_and_blocks.cu (308, 2023-05-17)
codes\1_introduction\threads_and_blocks_2.cu (758, 2023-05-17)
codes\1_introduction\vector_addition.cu (2263, 2023-05-17)
data (0, 2023-05-17)
data\T3L_TTZ.txt (4603833, 2023-05-17)
data\T3L_WZ.txt (4583663, 2023-05-17)
data\T3L_ZZ.txt (4545139, 2023-05-17)
executables (0, 2023-05-17)
figures (0, 2023-05-17)
tensorflow-gpu-classifier.ipynb (256292, 2023-05-17)

# GPU-programming-basics > **_NOTE:_** The content of this repository works only with NVIDIA graphics driver. I have an NVIDIA GeForce GTX 1650 in my device, and I use CUDA to talk to it. A lot of the stuff are taken from the GPU sessions of the HSF-India training event (1-5 May 2023, TIFR, Mumbai). The session was taught by Brij Kishor Jashal (TIFR).

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