I took a course on scientific computing in 2013. It was cross-listed under both the computer science and applied math departments. The issue is that the field

I took a course on scientific computing in 2013. It was cross-listed under both the computer science and applied math departments. The issue is that the field is pretty broad overall and a lot of topics were covered in a cursory manner, including anything related to HPC and parallel programming in particular. I don't regret taking the course, but it was too broad for the applications I was pursuing. I haven't looked at what courses are being offered in several years, but when I was a graduate student, I really would have benefited from a dedicated semester-long course on parallel computing, especially going into the weeds about particular algorithms and data structures in parallel and distributed computing. Those were handled in a super cursory manner in the scientific computing course I took, as if somehow you'd know precisely how to parallelize things the first time you try. I've since learned a lot of this stuff on my own and from colleagues over the years, as many people do in HPC, but books like these would have been invaluable as part of a dedicated semester-long course.