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: Java Programming, Java, Performance Tuning, Spring Framework, Application Performance Management, Algorithms, JUnit, OS Process Management, Application Frameworks, Programming Principles, Performance Testing, Spring Boot, Computer Architecture
状态：新状态：免费试用
状态：免费试用您将获得的技能: Microsoft Azure, Real Time Data, Serverless Computing, Cloud Applications, Virtual Machines, Cloud Computing Architecture, Microservices, Event-Driven Programming, Solution Architecture, Infrastructure As A Service (IaaS), Cloud Services, Containerization, Application Programming Interface (API)
状态：免费试用Johns Hopkins University
您将获得的技能: 数据访问, 分布式计算, 数据共享, 算法, 计算机编程工具, 调试, 硬件架构, 编程原则, 计算机结构, Python 编程, 计划发展, Algorithm, C 和 C++, 开发环境
状态：预览Northeastern University
您将获得的技能: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies
状态：免费试用Duke University
您将获得的技能: 持续交付, 云原生计算, 系统监控, 云部署, 微服务, Flask （Web 框架）, 云应用, 云计算, 性能测试, Kubernetes, 云平台, DevOps, Amazon Web Services, 集装箱化, 虚拟机, 无服务器计算, Virtual Machine
状态：预览您将获得的技能: Microarchitecture, Computer Architecture, Hardware Architecture, Simulations, Computer Hardware, Performance Tuning, Scalability, Data Storage
状态：免费试用Rice University
您将获得的技能: Java, 算法, 分布式计算, 计算机科学, 性能调整, 数据流, 编程原则, 应用框架, Algorithm, 功能设计
状态：免费试用Georgia Institute of Technology
您将获得的技能: 数据存储, 软件系统, 网络基础设施, 网络架构, 分布式计算, 软件定义网络, 云原生计算, 应用程序开发, 云计算管理, 云部署, 云基础设施, 云计算, 虚拟化, 虚拟网络, 数据中心, 网络监控, 云应用, 虚拟机, 多租户云环境, 网络性能管理, Virtual Machine
您将获得的技能: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment
状态：预览Northeastern University
您将获得的技能: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
状态：预览Coursera
您将获得的技能: Distributed Computing, Scalability, Performance Tuning, C++ (Programming Language), System Programming, Computer Architecture, Cross Platform Development, Hardware Architecture, Application Development, Algorithms, C (Programming Language), Development Environment
总之，以下是 10 最受欢迎的 parallel computing 课程
- Java Multithreading and Parallel Programming Masterclass: Packt
- Data Processing, Exploratory Analysis and Visualization: Microsoft
- Azure Compute and Application Architecture Solutions: Whizlabs
- 使用 GPU 的并行编程入门: Johns Hopkins University
- Program Structure and Algorithms Part 1: Northeastern University
- 云虚拟化、容器和应用程序接口: Duke University
- Computer Architecture Essentials on Arm: Arm
- Java 中的并行编程: Rice University
- 云计算的系统问题: Georgia Institute of Technology
- Practical Quantum Computing with IBM Qiskit for Beginners: Packt
