I liked the course (Performance Engineering of Software Systems) . It enhanced my understanding of software performance. I request that you @stevengj with Prof. Charles Leiserson, Julian Shun and Prof.Alan Edelman @alanedelman should repeat this course with Julia in place of Python examples. I think that it would revolutionize the learning of Julia software performance. Thanks
PS: Others please discuss possible modification in course contents that would make it best resource for getting performance.
Yes, I have seen that last lecture in Julia. I see Julia was packed in one lecture. I wish Python part also be replaced with Julia. I mean comparison should be done between C and Julia; and how Julia user can get best performance. There should be details about internals of Julia and how we can do internal changes to maximize performance for particular case.
Yes Sir, Most of the course is in C. I mean Julia should be given more emphasis than Python in comparisons. Many Python examples in lectures can be replaced with Julia. There should be more focus on getting better performance in Julia. I mean there should be revision of course with emphasis on Julia and RISC-V examples.
Your assumption of Julia’s superiority is dubious, and I don’t think it’s reasonable to ask people to teach you how to do something in Julia because they taught a course with blatantly different goals 7+ years ago.
On the topic of other Julia resources for “performance engineering” which might be relevant for OP, I know of the SciML “book” https://book.sciml.ai/, does anyone else have recommendations?