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Introduction to CUDA-C CUDA-C is an extension of the C programming language that allows developers to write code that can be executed on NVIDIA GPUs. It provides a set of language extensions, libraries, and tools that enable developers to harness the power of parallel processing on GPUs. CU...
1. 理解cuda c和gpu结构: 如果英语比较好时间充足建议浏览官网的编程指南: https://docs.nvidia.com/cuda/cuda-c-programming-guide/ 当然也有对应的中文版翻译,可以初期快速浏览下,但很久不更新了: https://github.com/HeKun-NVIDIA/CUDA-Programming-Guide-in-Chinese 2. 学习gpu结构建议先看知乎上的一些博客...
printf("Execution configuration <<<%d, %d>>>\n", grid.x, block.x); // 打印执行配置 // 拷贝device结果到host内存 cudaMemcpy(gpuRef, d_C, nBytes, cudaMemcpyDeviceToHost); // gpuRef表示目标地址,d_C表示源地址,nBytes表示拷贝字节数,cudaMemcpyDeviceToHost表示拷贝方向 // 在host端计算结果 su...
书配套示例代码github链接 https://github.com/deeperlearning/professional-cuda-c-programminggithub.com/deeperlearning/professional-cuda-c-programming GPU峰值计算能力 gpu浮点计算能力floaps_聊聊 GPU 峰值计算能力blog.csdn.net/weixin_40008920/article/details/112395816 ...
you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime libra...
《CUDA C 编程指南》学习笔记 CUDA是什么? CUDA(Compute Unified Device Architecture),是显卡厂商NVIDIA推出的运算平台。是一种通用并行计算架构,该架构使GPU能够解决复杂的计算问题。说白了就是我们可以使用GPU来并行完成像神经网络、图像处理算法这些在CPU上跑起来比较吃力的程序。通过GPU和高并行,我们可以大大提高...
参考文献: [1]《CUDA C编程权威指南》 [2]2.1-CUDA编程模型概述:https://github.com/ai408/nlp-engineering/tree/main/20230917_NLP工程化/20231004_高性能计算/20231003_CUDA编程/20231003_CUDA_C编程权威指南/2-CUDA编程模型/2.1-CUDA编程模型概述
项目地址:https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq 目前ZLUDA还处于alpha版本,但它已经被证实能够支持多种原生CUDA应用程序,如Geekbench、3DF Zephyr、Blender、Reality Capture、LAMMPS、NAMD、waifu2x、OpenFOAM、Arnold(概念验证)等。软件工程师Michael Larabel在经过几天的试用之后表示:支持CUDA...
NMSop的forward函数内核调用的是mmcv._ext.nms模块,但实际上我们在 MMCV 源码(https://github.com/open-mmlab/mmcv)中是看不到_extmodule 的。只有在编译好的mmcv 库 (MMCV_WITH_OPS=True python setup.py build_ext \--inplace) 会...