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
您将获得的技能: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications
状态：免费试用University of California San Diego
您将获得的技能: 社会影响, 推动参与, 远程访问系统, 交互设计, 协作软件, 远程办公, 社交网络分析, 数字通信, 计算平台
状态：免费试用您将获得的技能: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Computing Architecture, Performance Tuning, Infrastructure Architecture, Artificial Intelligence, Hardware Architecture
状态：预览École Polytechnique Fédérale de Lausanne
您将获得的技能: 查询语言, 大数据, Apache Spark, 性能调整, 分布式计算, 数据处理, 数据持久性, 数据操作, 编程原则, Scala 编程, 数据分析
状态：免费试用您将获得的技能: Virtual Machines, Google Cloud Platform, Microsoft Azure, Load Balancing, Cloud Computing Architecture, Public Cloud, Multi-Cloud, Cloud Infrastructure, Virtual Networking, Servers, Network Routing, Firewall, Scalability
Google Cloud
您将获得的技能: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management
状态：免费试用Google Cloud
您将获得的技能: Cloud Infrastructure, Google Cloud Platform, Hardware Architecture, Infrastructure Architecture, Computer Hardware, Performance Tuning, Cloud Platforms, Computing Platforms
Politecnico di Milano
您将获得的技能: 生物信息学, 算法, 计算机编程, 性能调整, 云应用, 硬件架构, 云计算, 亚马逊弹性计算云, 云计算架构, 计算机结构, 系统设计与实施, Algorithm, 开发环境
您将获得的技能: 中间件, 数据库, 网络服务, Java, 事务处理, 服务器, 事件驱动编程, 分布式计算, 软件架构, 微服务, 可扩展性, NoSQL
您将获得的技能: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio
状态：免费试用Johns Hopkins University
您将获得的技能: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Big Data, Software Architecture, Scalability
您将获得的技能: .NET Framework, Performance Tuning, Debugging, Performance Testing, C# (Programming Language), Data-oriented programming, Application Development
总之，以下是 10 最受欢迎的 parallel computing 课程
- Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
- 社会计算: University of California San Diego
- AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
- 使用 Scala 和 Spark 进行大数据分析（Scala 2 版本）: École Polytechnique Fédérale de Lausanne
- Google Cloud Compute and Scalability for Azure Professionals: Google Cloud
- Distributed Image Processing in Cloud Dataproc: Google Cloud
- AI Infrastructure: Cloud GPUs: Google Cloud
- 使用 SDAccel 开发 FPGA 加速云应用：实践: Politecnico di Milano
- 用 Java 构建现代 Distributed Systems: Packt
- Simple Parallel Coordinates Plot using d3 js: Coursera
