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This course is asynchronously delivered. Question for students: how do you find synchronous courses with some discussions during class, vs asynchronous courses where discussions are limited to an online written forum or office hours?
But needs to have at least some sort of synchronous at some point. In my one class, we use Notion for discussing so it has a live sense of discussion.
What would be some cool use cases to design your own compiler?
[0] https://sentient-lang.org/
[2] Factor's home-page does a poor job of presenting examples to give a flavour for the language, so here's one on GitHub: https://github.com/factor/factor/blob/master/basis/roman/rom...
The course materials look good. But what is a "PhD level course"? All I've seen is undergrad and graduate, and the difference between masters and PhD has nothing to do with classes.
> the difference between masters and PhD has nothing to do with classes. huh ? what's your education system ? in europe it's generally 3 year bachelor, then 2 year masters, then 3 years phd so when you have classes during your phd hopefully they are different that the one you get during your masters
What would be some cool use cases to design your own compiler?
The course materials look good. But what is a "PhD level course"? All I've seen is undergrad and graduate, and the difference between masters and PhD has nothing to do with classes.
> the difference between masters and PhD has nothing to do with classes. huh ? what's your education system ? in europe it's generally 3 year bachelor, then 2 year masters, then 3 years phd so when you have classes during your phd hopefully they are different that the one you get during your masters
Some courses are more basic, and some are more like collaborative research seminars. Advanced students gravitate towards the latter (and typically take fewer courses and/or audit more of them), but a first year with the right background can still take them. Conversely, an advanced student might take an introductory course in an area they lack background in to broaden their knowledge.
There also are terminal M.A. programs, but they're less common, and the majority of students who do Ph.Ds at prestigious institutions don't do one.
One of the most painful parts of the the project was using Scala which had ridiculously long compile times which made iterating quite a pain.
My favorite memory was that for one project we had to submit a program written meant to stress test everyone's parser.
On the related note, what would you guys recommend as an introduction to compilers, say for beginners?
Advanced compiling for high performance is one of not many good accounts of scheduling for non-toy architectures.
Muchnick's book is a good encyclopedia of optimisations although the code is unreadable and buggy.