Katydid

I think you missed the point of the article.

As someone here in the heart of it let me elucidate:

1) Residents here on the ground were told Starlink is already active in your area. Just connect through the site with your address. No one was worried about getting "retail dishes" they were told Starlink was providing free satellite internet across the devastated areas, all they had to do was open a website, enter their address and type $0 and boom, they're connected.

2) No one here even COULD get a dish delivered on the fly if they wanted to. Most roads are still to this day broken and impassable.

3) NO ONE HERE THOUGHT THIS WAS A STANDARD "FREE TRIAL" SITUATION. THEY THOUGHT IT WAS ACTUAL RELIEF, NO STRINGS ATTACHED, NO PERSONAL HARDWARE OBLIGATION.

Ultimately, you're making the mistake of thinking this is an article explaining a free trail for those with power, existing internet, passable roads, or existing hardware. The point this piece is making is that it was false advertising to people desperate to let their families know they weren't dead.

It's probably easy from the comfort of your mother's basement out of Helene's wake to spout all of this but a) you missed the point of the article and b) no one gave a fuck about retail dishes. They were told it was available via a website as HELP. As a kindness.

I'd love to see your source on 2000 free dishes. Ask anyone local here when the storm hit if they knew that, how to connect to them (without internet already). I guarantee no one knew until days later.

This came as a huge shock to those who only got the "free Starlink" through word of mouth here on the ground. We were told, "just go to starlink.com/activate" and type in your address. It was complete horseshit. The worst part about it was phones were in SOS mode, there was no internet anywhere, yet we could load that page to activate, which meant THERE WAS INTERNET. Just not to those who didn't pay for hardware and delivery (to places that are impossible to deliver to even today a week out). Infuriating.

Good question. It's because some extreme scale computer science and application work can only be valid with the high core counts/networking available on what is now just one single supercomputer in the U.S. - That machine is now booked, leaving many unable to complete research or have to wait until 2024. Some research can only be done with that scope of system, and people have been waiting years to test exascale software on this machine. I hope this answers the question.

This is why I wish this thread hadn't gone more mainstream.

It's nuanced and specific to how things work for researchers at labs.

I do not expect non-HPC folks to get why it is a big deal and why the strong language was needed. Intel failed the science community in the U.S. that relies on the limited systems large enough to handle the very few applications that consume massive numbers of cores/parallelism. That's not the whole of science, but this system was central to some of the grandest-scale problem solving that exists (think planet-scale climate simulations in high resolution).

I respect your opinion but my opinion wasn't for you. It was for the HPC comm.

Cheers to the best in the business, here's wishing Ian incredible success. Thanks for so much great reporting and analysis over the years. Few understand how challenging such a job is, having your daily work product (which has to balance technical depth and reader appeal) on stage for the world to grill, year in and out. Ian nailed it with depth, energy, and humor. Can't wait to see what's next from the good Dr. Cutress. - N

"Here’s the thing: That there won’t be one overlay to Earth as you are seeing it. There will be there will be millions of overlays and millions of alternative universes. And people will build some, but AI will build a lot of them. Some of these Omniverse worlds will be some of model our own world, which is the digital twin; some will model nothing like our own world. Some will be temporary worlds, while we’re working on a more persistent world – just like we have scratchpad memory in a supercomputer, there will be scratchpad Omniverse worlds."

Jesus, really?

Same here but that architecture is getting far less attention than Epyc right now. Seems a bit of a shame.

Gustafson commented on the article this morning.

A headline based on the very strange quote from nvidia CEO.

D-Wave is a company. It makes quantum computers. Wave Computing is a company that makes a custom ASIC for deep learning.

China flooded the list with non HPC machines, pushing out true scientific systems with several telco clusters. All you need is to run Linpack. These results are no longer useful or valid.

From the lead on this project: "Not yet, as we've only had access to hardware for a few weeks! Our early access whiteboxes are very different from the production XC50 nodes we'll get next year, so we may leave energy measurements until then"

It isn't an advertisement. From bottom of article: Editors Note: This non-sponsored article was written by two participants from ARM who were present at the workshop at the request of The Next Platform since editors were otherwise engaged during the ISC event.

Wouldn't say it's that simple. The biggest supercomputers need to have a balance between fat-ass manycore for the MPI/numerics (which won't go away until physics problems can be solved by DL--seems unlikely); GPUs for training, and probably something ultra low-power that can take advantage of power-in-numbers across thousands of nodes (FPGAs potentially). This is still a co-design effort, but like other areas that have been automated out of existence, it might be our best and brightest (supposedly) at the top of computing creating and maintaining these scientific applications should watch their futures.

Would be pretty expensive at scale and much has been done to optimize CPU only for search.

TNP is about the only quality tech reporting left.

It's CockroachDB. The guys who created Spanner just left (the clone) called Cockroach Labs.

A more in-depth on what this is http://www.nextplatform.com/2016/08/24/inside-manycore-resea...

Most of the questions asked in these threads on HN are answered in an update article they posted this morning about 14 nanometer, the Neon framework's future and such. Also, looks like everyone who broke the news did got the acquisition amount wrong. http://www.nextplatform.com/2016/08/10/nervana-ceo-intel-acq...

Um. An hour after this appeared on HN Intel bought them. Spooky.

Container automation will be very important in the online postcard museum industry. It is good that you are vigilant.

What interesting about this is that it is appears to be the next wave of PRACTICAL deep learning that can start in image recognition and move the same models into other areas. CNNs have limited (for now) use cases, this can actually be applied to some very large-scale problems using the single layer approach (which is the difference) and scale to massive sets. Very cool. Very.

Sigh.