CUDA是一种通用的并行计算平台和编程模型,在C语言基础上扩展的。使用CUDA可以像编写C语言一样实现并行的算法。这个chapter内向量相加的例子都可以在GitHub的repository内找到 vectorAdd CUDA sample. 2.1 CUDA编程模型概述 CUDA编程模型提供了一个计算机架构抽象来作为应用程序和其可用的硬件之间的桥梁。GPU编程模型根据GPU...
运行于 CPU 的主机代码 (host code) - 会被 C 编译器编译 运行与 GPU 的设备代码 (device code) - 会被 nvcc 编译为数据并行的函数,称为 kernel 图-15 CUDA program 编译的过程 Hello World 示例代码就不贴上来了,可以直接到github上查看。可以租用各大云厂商提供的 GPU 实例来编译和运行,Makefile 里面的...
OpenMP - An application programming interface that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran. VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP. PYNQ - An open-source project from Xilinx that makes it easy to design em...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB of VRAM is...
cupy - NumPy-like API accelerated with CUDA thrust - Thrust is a C++ parallel programming library which resembles the C++ Standard Library. ArrayFire - ArrayFire: a general purpose GPU library. OpenMP - OpenMP is an application programming interface that supports multi-platform shared memory multiproc...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver). System You will need one of the following: An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB of VRAM...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB of VRAM is...
We publish official container images in Github Container Registry: https://github.com/invoke-ai/InvokeAI/pkgs/container/invokeai. Both CUDA and ROCm images are available. Check the above link for relevant tags.Important Ensure that Docker is set up to use the GPU. Refer to NVIDIA or AMD ...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB of VRAM is...