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: 计算机系统, Bash（脚本语言）, 可扩展性, 文件系统, 操作系统, 命令行界面, 利纳克斯, 性能调整, 脚本, 大数据, 分布式计算, 编程原则
状态：免费试用University of Colorado Boulder
您将获得的技能: Bash（脚本语言）, 计算机系统, 文件输入/输出, 文件系统, 可扩展性, 负载平衡, 硬件架构, 线性代数, C 和 C++, 操作系统, 通信系统, 命令行界面, 性能调整, 利纳克斯, 脚本, 大数据, 分布式计算, 编程原则, 计算机编程工具
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：新状态：免费试用University of London
您将获得的技能: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory
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
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: 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
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：免费试用Rice University
您将获得的技能: 功能设计, 应用框架, 算法, Scala 编程, Java, Java 编程, 数据结构, 性能测试, 调试, 软件架构, Apache Kafka, 系统架构, Algorithm, 性能调整, 服务器, Apache Spark, Apache Hadoop, 数据流, 系统编程, 分布式计算, 编程原则
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
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
- Cloud Computing for Data Science: University of Pittsburgh
- Algorithms and Complexity: University of London
- 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
- Java 中的并行、并发和分布式编程: Rice University
