Wouldn't that make them entirely beholden to search engines that rely on ad revenue to pay Chrome? It doesn't seem to change the underlying incentives very much.
In 2018, 53% of votes for Wisconsin State Assembly went to Democrats, and Republicans won 64% of the seats (see https://www.jsonline.com/story/news/blogs/wisconsin-voter/20...). So in this case it's not true that "if that party stays in power, it's because a majority of the people in that state have voted for that party".
It never attracted a giant user base. I miss Reader (especially the pre-G+ integration version) and I wish it was still around, but it's not mysterious why it got killed. If it had hundreds of millions of users it wouldn't have died.
This is a very reasonable question. One way to get at the question of whether the reduction is real is to look at crimes where it's hard to game the statistics and see if they follow the same trends as other crimes.
One of the best crimes to look at is murder, since it's much harder to reclassify or not report a crime when there's a dead body involved. Looking at the statistics for murder and non-negligent manslaughter from http://en.wikipedia.org/wiki/Crime_in_the_United_States seems to support the idea that the reduction is real--the rate has been cut in half since 1990, and the reduction is broadly similar to the reductions in other types of crime over that period as described by that article.
The principled way to avoid bad worst-case performance for quicksort is to select the pivot using a median of medians approach. That gives you good asymptotic performance even for adversarial inputs, but in practice it tends to be slower. Which fits well with the theme of this article.
> A "Pareto optimal" solution is one which, given all the possibilities of action, produces the best outcome for both parties (with some negotiable surplus).
This isn't quite right. In a Pareto optimal solution, there's no way to improve things for one party without making them worse for another party, but there's no guarantee that the outcome is good for everyone. "I get everything, you get nothing" is a Pareto-optimal way of diving things up.
The network looks relatively anemic at first glance. I would guess that this will be a LINPACK monster, but it'll be difficult to scale applications that aren't pure linear algebra up to the point that justifies a single machine this size.
"Lede" is supposedly a holdover from the time when news was printed using actual metal lead type, and "lead" was accordingly shorthand for type itself. The alternate spelling avoids a potentially confusing homograph.
I'd say that the two communities here are just people working at opposite ends of a continuum of applications that run on large clusters. The HPC community is all the way at the end with tightly coupled applications, low data to computation ratios, and diverse communication patterns. The big data community is characterized by giant data to computation ratios, highly constrained and regular communication patterns, and loose coupling.
The fundamental problems are similar (fault tolerance, load balancing, scheduling) but the best approaches depend on where you are on that continuum.
One possible explanation: the cost of initial IO to write your data is amortized over that data's lifetime. The early-delete penalty ensures that Amazon always makes enough on your data to justify the cost of writing it into their system in the first place.
If you have a lot of heavily-read data distributed across machines, you're probably constrained by available spindles rather than available storage space. So co-locating data that will almost never be read with heavily-read data is effectively free. I would guess that Amazon stores Glacier data alongside S3 data, and the lower price reflects the fact that the limiting factor in their storage system is IO rather than capacity.
I was trying to build WRF from source a few years ago for a project in grad school, and the bulk of the program was one giant file that crashed gfortran when you tried to compile it. So compiling with a non-Intel compiler can present some problems.
Does it? I've always thought of a mid-life crisis as an attempt to recapture the thrills of youth, whether through a fast new car or a hot young fling or whatever. If you take him at his word, he's trying to do the opposite and move beyond the problems of his youth.