diff --git a/en/并行与分布式系统/CS149/index.html b/en/并行与分布式系统/CS149/index.html index 39c71e04..250ff54e 100644 --- a/en/并行与分布式系统/CS149/index.html +++ b/en/并行与分布式系统/CS149/index.html @@ -1,4 +1,4 @@ - CMU 15-418/Stanford CS149: Parallel Computing - csdiy.wiki
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CMU 15-418/Stanford CS149: Parallel Computing

Descriptions

  • Offered by: CMU and Stanford
  • Prerequisites: Computer Architecture, C++
  • Programming Languages: C++
  • Difficulty: 🌟🌟🌟🌟🌟
  • Class Hour: 150 hours

The professor Kayvon Fatahalian used to teach course 15-418 at CMU. After he became an assistant professor at Stanford, he offered a similar course, CS149 at Stanford. In general, the 15-418 version is more comprehensive and has lecture recordings, but CS149's programming assignments are more fashionable. Personally, I watched the recordings of 15-418 but completed the assignments of CS149.

The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems, as well as to teach how to utilize hardwares and software programming frameworks (such as CUDA, MPI, OpenMP, etc.) for writing high-performance parallel programs. Due to the complexity of parallel computing architecture, this course involves a lot of advanced computer architecture and network communication content, the knowledge is quite low-level and hardcore. Meanwhile, the five assignments develop your understanding and application of upper-level abstraction through software, specifically by analyzing bottlenecks in parallel programs, writing multi-threaded synchronization code, learning CUDA programming, OpenMP programming, and the popular Spark framework, etc. It really combines theory and practice perfectly.

Resources

Personal Resources

All the resources and assignments used by @PKUFlyingPig in this course are maintained in PKUFlyingPig/CS149-parallel-computing - GitHub.

CMU 15-418/Stanford CS149: Parallel Computing

Descriptions

  • Offered by: CMU and Stanford
  • Prerequisites: Computer Architecture, C++
  • Programming Languages: C++
  • Difficulty: 🌟🌟🌟🌟🌟
  • Class Hour: 150 hours

The professor Kayvon Fatahalian used to teach course 15-418 at CMU. After he became an assistant professor at Stanford, he offered a similar course, CS149 at Stanford. In general, the 15-418 version is more comprehensive and has lecture recordings, but CS149's programming assignments are more fashionable. Personally, I watched the recordings of 15-418 but completed the assignments of CS149.

The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems, as well as to teach how to utilize hardwares and software programming frameworks (such as CUDA, MPI, OpenMP, etc.) for writing high-performance parallel programs. Due to the complexity of parallel computing architecture, this course involves a lot of advanced computer architecture and network communication content, the knowledge is quite low-level and hardcore. Meanwhile, the five assignments develop your understanding and application of upper-level abstraction through software, specifically by analyzing bottlenecks in parallel programs, writing multi-threaded synchronization code, learning CUDA programming, OpenMP programming, and the popular Spark framework, etc. It really combines theory and practice perfectly.

Resources

Personal Resources

All the resources and assignments used by @PKUFlyingPig in this course are maintained in PKUFlyingPig/CS149-parallel-computing - GitHub.

CMU 15-418/Stanford CS149: Parallel Computing

课程简介

  • 所属大学：CMU 和 Stanford
  • 先修要求：计算机体系结构，熟悉 C++
  • 编程语言：C++
  • 课程难度：🌟🌟🌟🌟🌟
  • 预计学时：150 小时

Kayvon Fatahalian 教授此前在 CMU 开了 15-418 这门课，后来他成为 Stanford 的助理教授后又开了类似的课程 CS149。但总体来说，15-418 包含的课程内容更丰富，并且有课程回放，但 CS149 的编程作业更 fashion 一些。我个人是观看的 15-418 的课程录影但完成的 CS149 的作业。

这门课会带你深入理解现代并行计算架构的设计原则与必要权衡，并学会如何充分利用硬件资源以及软件编程框架（例如 CUDA，MPI，OpenMP 等）编写高性能的并行程序。由于并行计算架构的复杂性，这门课会涉及诸多高级体系结构与网络通信的内容，知识点相当底层且硬核。与此同时，5 个编程作业则是从软件的层面培养学生对上层抽象的理解与运用，具体会让你分析并行程序的瓶颈、编写多线程同步代码、学习 CUDA 编程、OpenMP 编程以及前段时间大热的 Spark 框架等等。真正意义上将理论与实践完美地结合在了一起。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS149-parallel-computing - GitHub 中。

CMU 15-418/Stanford CS149: Parallel Computing

课程简介

  • 所属大学：CMU 和 Stanford
  • 先修要求：计算机体系结构，熟悉 C++
  • 编程语言：C++
  • 课程难度：🌟🌟🌟🌟🌟
  • 预计学时：150 小时

Kayvon Fatahalian 教授此前在 CMU 开了 15-418 这门课，后来他成为 Stanford 的助理教授后又开了类似的课程 CS149。但总体来说，15-418 包含的课程内容更丰富，并且有课程回放，但 CS149 的编程作业更 fashion 一些。我个人是观看的 15-418 的课程录影但完成的 CS149 的作业。

这门课会带你深入理解现代并行计算架构的设计原则与必要权衡，并学会如何充分利用硬件资源以及软件编程框架（例如 CUDA，MPI，OpenMP 等）编写高性能的并行程序。由于并行计算架构的复杂性，这门课会涉及诸多高级体系结构与网络通信的内容，知识点相当底层且硬核。与此同时，5 个编程作业则是从软件的层面培养学生对上层抽象的理解与运用，具体会让你分析并行程序的瓶颈、编写多线程同步代码、学习 CUDA 编程、OpenMP 编程以及前段时间大热的 Spark 框架等等。真正意义上将理论与实践完美地结合在了一起。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS149-parallel-computing - GitHub 中。