Fundamentals of high performance computing and parallel algorithm design for numerical computation. Topics include parallel architectures and clusters, parallel programming with message-passing libraries and threads, program parallelization methodologies, parallel performance evaluation and optimization, parallel numerical algorithms and applications with different performance tradeoffs.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeAwesome class
Nice guy, his accent is a little hard to understand sometimes though. His assignments are generally not that bad and the material he covers is pretty interesting. Not the best lecturer but he's very reasonable and responsive.
legend
Aside from heavy accents and projects that are a little hard, everything seems fine for me. The material covered was interesting and the professor is a nice person
Useless, incoherent lectures. Obviously does not have any passion for teaching students. You will have to self-study all the material. Tests and homework are relatively easy, but programming assignments are long and frustrating. Felt like a waste of a quarter; disappointing, because the material should be interesting.
Workload seems easier than most offerings of 170-- especially compared to Wolski. The labs are actually very doable. Large part of your grade is exams instead of coding, and the midterm was doable but you should definitely study. Slides are good and textbook is also really helpful and aligns with the course content.