prestonbriggs

If you look at some of the other Christmas lectures, you'll see he's often (always?) wearing the same outfit. So, tradition!

Doing a good job of constant prop means doing a thorough job of implementing the best algorithm in the best paper. And to do that, you need to build a form of SSA. And to do that you need to compute dominators. And to do that, you need to build an appropriate form of the CFG. Don't need a PhD to do all those things (not inventing anything new here, just using other peoples' beautiful results), but it's still plenty of work to build a fast & thorough implementation, with lots of testing required.

Can't possibly be economical; but of course, the experience will teach you a lot.

Yes, memorizing everything (all the music) helped hugely in practicing. I used to believe it was because I didn't have to read the music, and could focus on fingers, etc. But maybe the memorization effort (and it wasn't hard, as you mentioned) was enough to establish a framework, and the bulk of my practicing was hanging new details onto the framework.

Has anyone used this approach to memorize music? E.g., for playing an instrument.

I used to be able to remember plenty when I was young and practicing a lot. And certainly professionals can remember significant amounts (and not just the music, but performance details, fingerings, etc).

Seems like a different mechanism, relying less on visual and spatial associations, more on hearing. But perhaps it's similar in that you learn a structure and attach details to it.

Or, having developed a good memory for music, can we use it to help memorize random facts? Perhaps associating them with places in a song.

Compilers have parsers, not languages. Many languages have more than one compiler (e.g., C), and the various compilers may use different techniques for parsing.

I argued for years in favor of keeping the minimum runtime of a number of samples; never found much support.

Golly would crush them all.

Happens in other fields too. When I worked at Tera, I (and plenty of others) would talk to Burton Smith in the halls. Whatever the topic, he always made us feel included and smart. Then, after the conversation, as we moved apart, our IQ would drop and our understanding would fail.

Except maybe some of it stuck. Hope so.

Eh? IBM 704

One of my favorite moments in literature: "... and nothing more was said - may God forgive me - of duodecimal functions."

Cynically, I think the publishers have a deal that Apple won't publish manuals.

Then again, crows collect shiny things too.

Thinking about it a bit more, I realize I've over simplified. Things were more diverse. At the time, there were significant academic compiler projects in the US written in PL/1, SETL, and Lisp. ML (as in Standard ML of New Jersey) work was getting started. I knew older guys who were interested in Algol 68. In academia, I saw no PCs and most grad students didn't have one.