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University of Colorado Boulder
您将获得的技能: 命令行界面, 分布式计算, 计算机系统, 利纳克斯, 脚本, 大数据, 文件系统, 可扩展性, 操作系统, 编程原则, 性能调整, Bash（脚本语言）
状态：免费试用University of Colorado Boulder
您将获得的技能: 负载平衡, 通信系统, 命令行界面, 分布式计算, 利纳克斯, 脚本, 大数据, 可扩展性, 计算机系统, 文件系统, 操作系统, 线性代数, 文件输入/输出, 编程原则, 硬件架构, C 和 C++, 计算机编程工具, 性能调整, Bash（脚本语言）
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Web Services, Cloud Computing, Cloud Computing Architecture, Cloud Storage, Cloud Infrastructure, Cloud Applications, Google Cloud Platform, Flask (Web Framework), Distributed Computing, Containerization, Software Architecture, Docker (Software), Virtualization, Restful API, JSON, Microservices, Scalability, Extensible Markup Language (XML), API Design, Computer Architecture
状态：新您将获得的技能: C and C++, C++ (Programming Language), Development Environment, Performance Tuning, Distributed Computing, Docker (Software), Development Testing, Programming Principles, Algorithms, Computer Programming, Python Programming, Debugging, Software-Defined Networking, Computer Hardware, Scripting
状态：新状态：免费试用University of London
您将获得的技能: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives
状态：新状态：免费试用University of London
您将获得的技能: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Modeling, Problem Solving, Strategic Communication
是什么让您今天来到 Coursera？
状态：新状态：免费试用University of London
您将获得的技能: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
状态：免费试用Rice University
您将获得的技能: Apache Kafka, Scala 编程, 分布式计算, 系统编程, Java, 调试, 服务器, Apache Spark, 功能设计, Algorithm, 软件架构, Java 编程, 应用框架, 算法, 编程原则, 数据结构, 性能测试, 数据流, Apache Hadoop, 系统架构, 性能调整
状态：免费试用University of Colorado Boulder
您将获得的技能: File I/O, C and C++, Load Balancing, Communication Systems
状态：新状态：免费试用University of London
您将获得的技能: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving
状态：免费试用Johns Hopkins University
您将获得的技能: 深度学习, 卷积神经网络, 可扩展性, 分布式计算, 系统编程, 数学软件, 事件驱动编程, 人工神经网络, 机器学习, 线性代数, 编程原则, 数值分析, 计算机图形学, C 和 C++, 图像分析, 计算机结构, 硬件架构, 计划发展, 面向数据的编程, 性能调整
总之，以下是 10 最受欢迎的 parallel computing 课程
- 高性能和并行计算简介: University of Colorado Boulder
- 高性能和并行计算: University of Colorado Boulder
- Distributed Systems and Web Services: University of Pittsburgh
- GPU Programming with C++ and CUDA: Packt
- Geometry and Calculus for Computing: University of London
- Logic and Reasoning for Computing: University of London
- Applied Mathematical Methods for Computing: University of London
- Cloud Computing for Data Science: University of Pittsburgh
- Java 中的并行、并发和分布式编程: Rice University
- Parallel Computing with MPI: University of Colorado Boulder
