并行计算课程
并行计算课程可以帮助您学习 Distribution Systems、Concurrency 和性能优化技术。您可以掌握任务调度、Load Balancer 和 Debugging 并行应用程序方面的技能。许多课程会介绍 MPI（消息传递接口）和 OpenMP 等工具，这些工具支持实施并行算法和提高计算效率。
热门并行计算课程和认证
状态：免费试用Johns Hopkins University
您将获得的技能: 系统编程, 可扩展性, 数学软件, 机器学习, 深度学习, 卷积神经网络, 性能调整, 线性代数, 事件驱动编程, 分布式计算, 计算机图形学, 图像分析, 硬件架构, 数值分析, 编程原则, 计划发展, 面向数据的编程, 人工神经网络, C 和 C++, 计算机结构
状态：免费试用您将获得的技能: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation
状态：免费Princeton University
您将获得的技能: 可扩展性, 性能调整, 操作系统, 分布式计算, 计算机工程, 计算机系统, 硬件架构, 计算机结构, 微架构
状态：免费试用Johns Hopkins University
您将获得的技能: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics
状态：免费试用Johns Hopkins University
您将获得的技能: 系统编程, 算法, 性能调整, 调试, 计算机结构, 面向数据的编程, Algorithm, 开发环境, C 和 C++
您将获得的技能: Performance Tuning, Python Programming, OS Process Management, Data Processing, Scalability, Database Management
状态：免费试用École Polytechnique Fédérale de Lausanne
您将获得的技能: 可扩展性, Java 编程, 性能调整, 分布式计算, 算法, Scala 编程, 数据结构, 其他编程语言, Algorithm, 功能设计
状态：新您将获得的技能: Generative AI
状态：预览The University of Sydney
您将获得的技能: 可扩展性, 安全工程, Blockchain, 加密技术, 算法, 数据完整性, 分布式计算, 区块链, Network Security, 事务处理, 网络安全, Algorithm
状态：新状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, Model Deployment, Infrastructure Architecture, Cloud Computing, Cloud Deployment, AI Workflows, Application Deployment, Artificial Intelligence, Computer Hardware, Systems Architecture, Performance Tuning
状态：新Google Cloud
您将获得的技能: Model Deployment, Serverless Computing, Google Cloud Platform, Generative AI, Cloud Deployment, Containerization, Performance Tuning, Scalability
状态：新Google Cloud
您将获得的技能: Cloud Deployment, Google Cloud Platform, Cloud Computing Architecture, Model Deployment, Hardware Architecture, Performance Tuning, Artificial Intelligence
总之，以下是 10 最受欢迎的 parallel computing 课程
- GPU 编程: Johns Hopkins University
- The Complete Quantum Computing Course for Beginners: Packt
- 计算机结构: Princeton University
- Social Computing: Johns Hopkins University
- 使用 CUDA 的并行编程简介: Johns Hopkins University
- Concurrent and Parallel Programming in Python: Packt
- 并行编程: École Polytechnique Fédérale de Lausanne
- Train Large Language Models Faster - Parallelism Deep Dive: Packt
- 区块链的可扩展性及其在分布式系统中的基础: The University of Sydney
- Infrastruktur AI: Pengantar AI Hypercomputer: Google Cloud
