matachuan

If the West ever returns to the idea of democratic society where everyone should have access to education, housing and good working conditions. Where we run our countries, our infrastructure and invest in scientific progress together. And where we believe that running businesses in line with the values of society is better. Then they would want democracy as well.

In that matter, don't you think it's the financial status that pushes all the ideas back? There is a fundamental tradeoff between resources spent on individuals vs total resources.

See ATC'13 How to Run POSIX Apps in a Minimal Picoprocess (https://www.usenix.org/system/files/conference/atc13/atc13-h...). I would say it's a POSIX emulator OS.

I used to (and still do) listen to Chaconne and Goldberg variations all day when I was writing papers. Praise Bach!

Really cool project! It reminds me of TockOS from SOSP'17 which is also written in Rust but designed for extremely resource-constrained devices.

The project name is GOLD

Well my first thought on this is multitaskers have reduced their RAM size and I'm completely lost.

C'mon. Not even your own Drawbridge project is supported in Windows...

Never thought I'd see this on here...There is no need for all the complications like IF, etc. This game is only about your caloric deficient and surplus.

I so love this kind of behind the scene story

IDK about systems programming, but one thing I do know: Systems researchers = ^[AI researchers]

Of course it's about Gernot Heiser's verified ukernel...

Expand a little then it becomes the probabilistic graphical model.

Your numerous citations and that point 2) you made form an embarassing contrast but it's adorable though.

Very neat work. I understand about ext-family and those fs that have a clear boundary of the data/metadata block -- they can be annotated and identified later. Then how about NTFS where metadata and data can mix in one block? Is there any potential challenge or same approach can still apply?

Another quick hint: always make things work first then profile and optimize it. This happens when my colleagues were building a stream processing engine that scales up. At first, they start with all those fancy fine-grained locks but it turns out the final result just does not scale at all. They have to retreat to the version with some big locks and then figure out what was happening and how to solve it.

Correct -- you should at least try and then make a fair judgment of yourself. However, that judgment is still hard to make.

"Anyone can do anything" is a big lie -- people just find it hard to admit themselves are just as normal as anybody else.

Why not have a scale-up system?

Pure trash

Welcome to Purdue then

What are other killer applications of deep learning rather than CV and gameplaying?

It's good to know even vegans know how to scam people for money

You clearly did not see that was sarcastic.

It may have interesting impacts on the psychological study to help understand what caused the offset of understanding of mentally ill people. But the whole psychopath AI title is undoubtedly a buzzword.

Lol for sure any NN-based approach can claim to outperform traditional ways while half of CVPR paper results cannot be reproduced.

That's how NLP can be a dead end by putting your faith on NN.

I'm doing research so I'm working on interesting technical problems everyday :^)

skynet in action

I agree with what you said because everyone knows it's massive. All I wonder is how massive, quantitatively.

lol I'm well informed on this topic but thanks anyway. Maybe I didn't make myself clear in my previous post. I was questioning the motivation -- Is there any existing profiling work that shows a significant amount of time has been spent on context switches in this particular workloads and how much you can save by adopting this approach.