[TRANSLATION] translate CS149.md (PKUFlyingPig#279)

* [TRANSLATION] translate CS149.md

* Update CS149.en.md

Author: smxm

docs/并行与分布式系统/CS149.en.md

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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](http://www.cs.cmu.edu/~kayvonf) 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
+
+- Course Website: [CMU15418](http://15418.courses.cs.cmu.edu/spring2016/), [CS149](https://gfxcourses.stanford.edu/cs149/fall21)
+- Recordings: <http://15418.courses.cs.cmu.edu/spring2016/lectures>
+- Textbook: None
+- Assignments: <https://gfxcourses.stanford.edu/cs149/fall21>, 5 assignments
+
+## Personal Resources
+
+All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS149-parallel-computing - GitHub](https://github.com/PKUFlyingPig/CS149-parallel-computing)