CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing
http://www.iqiyi.com/a_19rrhbvoe9.html 基于GPU加速的并行计算应用越来越多,GPU在能源、高教科研、政府部门、互联网、金融、高性能计算等领域取得了广泛的成功。由此带动了大量的并行计算编程人员的需求,为了能够方便更多程序员迅速掌握CUDA编程能力及代码优化,NVIDIA
1.深蓝学院课程讲解:https://www.shenlanxueyuan.com/course/410 2. D. Kirk and W. Hwu, “Programming Massively Parallel Processors –A Hands-on Approach, Second Edition” 3. CUDA by example, Sanders and Kandrot 4. Nvidia CUDA C Programming Guide:https://docs.nvidia.com/cuda/cuda-c-progra...
Lichterman, David. 2007. Course project for UIUC ECE 498 AL: Programming Massively Parallel Processors. Wen-Mei Hwu and David Kirk, instructors. http://courses.ece.uiuc.edu/ece498/al/. NVIDIA Corporation. 2007. NVIDIA CUDA Compute Unified Device Architecture Programming Guide. Version 0.8.1...
University of Illinois : Current Course: ECE408/CS483Taught by Professor Wen-mei W. Hwu and David Kirk, NVIDIA CUDA Scientist. Introduction to GPU Computing (60.2 MB) CUDA Programming Model (75.3 MB) CUDA API (32.4 MB) Simple Matrix Multiplication in CUDA (46.0 MB) CUDA Memory Model (109...
, CUDA Architect, NVIDIA 高度評價 分享 我的最愛 加入列表 Come for an introduction to programming the GPU by the lead architect of CUDA. CUDA's unique in being a programming language designed and built hand-in-hand with the hardware that it runs on. Stepping up from last yea...
Nvidia Tesla architexture : First alternative, non-graphics-specific compute-mode interface to GPU hardware 此时不再需要Shader作为中介,想要编写在CUDA上可运行的程序,只需要:在GPU上分配一片内存,将需要计算的数据拷贝进入GPU中,提供GPU可以执行的二进制可执行文件,告诉GPU利用几个Kernel去执行这个程序,而不是...
, CUDA Architect, NVIDIA 我的最愛 加入列表 Come for an introduction to programming the GPU by the lead architect of CUDA. CUDA's unique in being a programming language designed and built hand-in-hand with the hardware that it runs on. Stepping up from last year's "How GPU Computing Work...
I get this bug…But the real reason is I wrote a BlockIdx.x in my code, after I changed it into blockIdx.x, I solved it. But how can I find this from the bug information? Of course I can not immediately find my bug at once…Could someone kindly help me? Thank you!!!
首先主机端 (host)和设备端 (device),主机端一般指我们的 CPU,设备端一般指我们的 GPU。 一个CUDA 程序,我们可以把它分成3个部分: 第1部分是:从主机 (host) 端申请 device memory,把要拷贝的内容从 host memory 拷贝到申请的 device memory 里面。