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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cuda-gpu-programming-beginner-to-advanced/
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课程名称：CUDA GPU 编程初学者到高级课程 课程概述： 本课程旨在教授学生并行计算和 CUDA（计算统一设备架构）编程的基本概念，是一门为初学者设计的 CUDA GPU 编程课程，帮助学生掌握理论知识和实际技能，以推动其职业发展。课程内容按照步骤逐一讲解。 学习内容： 1. GPU 编程的背景 2. NVIDIA GPU 的通用用途及其应用领域 3. CUDA 内存模型 4. CUDA 功能管道 5. 编程管道与 CUDA 工具包 6. 并行模型（mpi、OpenMP、CUDA） 7. CUDA 性能基准测试 8. 其他相关内容 课程中将设置实践练习，让您测试新的 CUDA 知识和编程技能。完成课程后，您将为未来从事 CUDA GPU 编程的工作或晋升奠定基础。 什么是 CUDA 和 GPU 编程？ CUDA 是由英伟达创建的并行计算平台和应用程序编程接口（API）模型，允许软件开发人员利用 CUDA 启用的图形处理单元（GPU）进行通用处理。GPU 编程使得 GPU 能够用于科学计算，原本为图形支持而开发的 GPU，在处理大量数据时展现出巨大的潜力。 学习 GPU 编程的三大好处： 1. 高需求：市场对掌握 CUDA 的 GPU 程序员需求旺盛。 2. 可用技能：能够迅速解决复杂的计算密集型任务。 3. 职业发展：软件公司对能力出众的 GPU 程序员求贤若渴，掌握这一技能有利于职业晋升。 常见问题： - 参加此课程是否需要自己的 GPU？不需要，可以使用云计算解决方案。 - 本课程与其他 CUDA 课程有什么不同？除了实践编程技能外，还提供深入的理论知识，并接触 GPU 编程的前沿研究领域。 保证： 如果您在购买课程后 30 天内决定不适合自己，可以申请退款。 准备好学习 CUDA GPU 编程了吗？请点击“参加此课程”按钮，立刻开始学习！
THE BEST CUDA GPU PROGRAMMING COURSE FOR TAKING STUDENTS FROM BEGINNER TO ADVANCED The primary goal of this course is to teach students the fundamental concepts of Parallel Computing and GPU programming with CUDA (Compute Unified Device Architecture) The course is designed to help beginning programmers gain theoretical knowledge as well as practical skills in GPU programming with CUDA to further their career.Everything is covered step by step. YOU WILL LEARN:The background of GPU programmingNVIDIA GPUs for General Purpose and their Application AreasCUDA Memory ModelsCUDA Functional PipelineProgramming Pipeline & CUDA ToolkitParallelism Models (mpi, open MP, CUDA)CUDA Performance BenchmarkingMuch more...Throughout the course, I will give you practical exercises for you to test out your new CUDA knowledge and programming skills. When you are finished with this course, you will have laid the foundation for your future CUDA GPU Programming job or promotion with your new GPU programming skills.I look forward to meeting you in the course forum where I'll be available to help you along the way and answer questions that you might have.WHAT IS CUDA & GPU PROGRAMMING?CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general-purpose processing - an approach termed GPGPU (General-Purpose computing on Graphics Processing Units). The CUDA platform is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels.GPU programming enables GPUs to be used in scientific computing. GPUs were supposed to be developed for the dedicated purpose of graphics support. But, with the discovery of the ability of GPUs in number crunching. It's become mainstream to use GPUs for scientific application development.TOP 3 BENEFITS OF LEARNING GPU PROGRAMMING WITH CUDA1: High demand. There is a high demand for skilled GPU programmers with CUDA.2: A usable skill. With GPU programming skills you can program GPUs to solve complex and computationally intensive tasks swiftly. GPU programming is the skill used in almost all fields of engineering and computer sciences in one way or the other.3: Further your career. Software companies all around the world are actively seeking out, competent GPU programmers. There are not a lot of them, so the pay is good. If you learn GPU programming, a promotion or a new job is a likely outcome. FREQUENTLY ASKED QUESTIONSDo I need my own GPU for this course? No, you can use cloud-based solutions. You don't have to purchase the hardware. Even If you don't want to purchase cloud-based GPU environment. You can still take this course to get theoretical knowledge of CUDA and programming experience of other open-source libraries like mpi/openMPWhat's the difference in this course from other CUDA courses? Along with hands-on GPU programming skills, you also get in-depth theoretical knowledge.The course exposes you to cutting edge research fields in which GPU programming is in use these days. Application development using CUDA alone is rare. This course also gives you programming experience with open-source parallel libraries like Open MP/mpi.(i.e. Hybrid Parallelism)GUARANTEEIf within 30 days of buying the course you decide that it's not for you, please get a refund. We only want happy students. ARE YOU READY TO LEARN CUDA DIGITAL PROGRAMMING?Please press the "Take This Course" button and start learning 2 minutes from now!
