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: 数据转换, 数学软件, 机器学习, 卷积神经网络, 线性代数, 算法, 深度学习, 数据科学, 数据处理, 图像分析, 数字信号处理, 数值分析, 人工神经网络, 数据结构, Algorithm
状态：预览Fractal Analytics
您将获得的技能: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations
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
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：免费试用您将获得的技能: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)
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
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
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
您将获得的技能: .NET Framework, Performance Tuning, Debugging, Performance Testing, C# (Programming Language), Data-oriented programming, Application Development
状态：免费试用您将获得的技能: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning
状态：免费试用Johns Hopkins University
您将获得的技能: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery
状态：免费试用Politecnico di Milano
您将获得的技能: 深度学习, 人工智能, 人工智能赋能, 物联网, 云计算, 机器学习方法, 云平台, 硬件架构, 数据中心, 信息技术, 嵌入式系统
总之，以下是 10 最受欢迎的 parallel computing 课程
- CUDA 高级库: Johns Hopkins University
- Quantum Computing For Everyone - An Introduction : Fractal Analytics
- 社会计算: University of California San Diego
- Simple Parallel Coordinates Plot using d3 js: Coursera
- Java SE 17 Developer (1Z0-829): Unit 5: Pearson
- 用 Java 构建现代 Distributed Systems: Packt
- YARN MapReduce Architecture and Advanced Programming: Johns Hopkins University
- Distributed Image Processing in Cloud Dataproc: Google Cloud
- Advanced .NET with TPL & PLINQ: Conducting Performance Boost: Coursera
- Apache Spark with Scala – Hands-On with Big Data!: Packt
