From c7cca2378e1e1e1862ad127e89ae54154ca47a3a Mon Sep 17 00:00:00 2001 From: <> Date: Mon, 28 Jul 2025 15:10:29 +0000 Subject: [PATCH] Deployed c9365b2e with MkDocs version: 1.6.1 --- en/并行与分布式系统/CS149/index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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 3711172c..0601e68c 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.