At PLDI a few weeks ago, my advisor Ryan Newton presented our paper “Taming the Parallel Effect Zoo: Extensible Deterministic Parallelism with LVish”. This year, PLDI asked the authors of each paper to give a short, one-minute talk, accompanied by a single slide, in the morning on the day of their main, twenty-minute presentation. The goal of the one-minute talks was to encourage people to attend the main talks and help them decide which ones to see. On each morning of the conference, all of that day’s one-minute talks were presented one after another, right after the keynote presentation.
I recently got an email from someone who was about to graduate with an undergrad CS degree and was interested in pursuing programming languages research. They were planning on going to grad school, but wanted to know what they could do between now and when grad school would start (in fall 2015 at the earliest, since that’s how application cycles for Ph.D. programs work) to keep their head in the research and PL game. Here are some thoughts on that topic, based on my own experience. My advice is targeted toward people who are graduating from undergrad CS programs soon, or who graduated recently and are working in industry.
I was one of the organizers of !!Con, a free conference about the joy, excitement and surprise of programming that happened two weeks ago in New York.
We did a number of things that I think helped set the conference apart — for instance, we had an anonymous talk review process. One thing we did that I’m particularly glad of was having real-time captioning of the talks at the conference. As each presenter spoke, Mirabai Knight transcribed the text of their talk on her steno machine, in real time, at up to 260 words per minute, and projected it on a screen that the whole room could see.
Last year, I wrote a post about a so-called LVar data structure that, upon closer inspection, turned out not to be an LVar at all. In that post, I proposed a way to fix the problem, but the fix seemed to be at the expense of another desirable property of the data structure. In this post, I return to that example, but this time, I’ll explain how we can have our cake and eat it, too!
For the last few months, as I’ve been getting ready to finish up grad school, I’ve also spent a lot of time working on figuring out what I’m going to do once I’m done. Many conversations, emails, interviews, and iterations of my job talk1 later, I’m very happy to report that my job search has come to a successful conclusion!
The other day Peter Alvaro made a list of “fond memories of rejection”. People with tons of publications aren’t getting rejected any less often than the rest of us are; they’re making more attempts.