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: 可扩展性, 算法, 系统编程, 性能调整, 事件驱动编程, 分布式计算, 图像分析, 计算机图形学, 数据结构, 计划发展, Algorithm, C 和 C++
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
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
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：预览Fractal Analytics
您将获得的技能: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations
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: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)
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: 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
总之，以下是 10 最受欢迎的 parallel computing 课程
- 企业级 CUDA: Johns Hopkins University
- Google Cloud Compute and Scalability for Azure Professionals: Google Cloud
- CUDA 高级库: Johns Hopkins University
- Distributed Image Processing in Cloud Dataproc: Google Cloud
- Quantum Computing For Everyone - An Introduction : Fractal Analytics
- Advanced .NET with TPL & PLINQ: Conducting Performance Boost: Coursera
- 社会计算: University of California San Diego
- Java SE 17 Developer (1Z0-829): Unit 5: Pearson
- YARN MapReduce Architecture and Advanced Programming: Johns Hopkins University
- 用 Java 构建现代 Distributed Systems: Packt
