helltone

Out of curiosity is that an EDA company?

Perhaps un-setting envvar AT_SYSINFO_EHDR would disable VDSO for a selected process without reboot?

What's your tech stack for the positions in London?

Location: London

Remote: No (hoping to go back to an office when the lockdown is lifted)

Willing to relocate: Yes, anywhere in Europe.

Technologies: C++, Python

Résumé/CV: https://funchal.github.io/

Email: gafunchal AT gmail.com

I'm an experienced software engineer with a passion for working in collaborative teams, and a research/optimization background. I also have some management experience if that comes in handy. Looking for my next opportunity.

I haven't seen anyone mentioning it, but I wonder if -ffloat-store fixes this?

If anyone from questdb is around, and want tips on how to go around implementing GIS support for a database, hit me up! Email on my profile.

If the author is here, can I suggest testing the Dark Reader extension too?

Coverity is great, but I don't want to move to the US, do you have a team in europe?

What libraries are you using for reading all these formats?

Out of curiosity, what is the entropy of your input? ie what's the output of

gzip input.csv -c | wc -c

versus

cat input | wc -l

?

I'd love a version of this written in plain C or Python. This is so much better than the Kaleidoscope tutorial. Haskell is a bit hard to grok tho.

wow does this affect Firefox only? (Dark Reader is available for Chrome too)

And whatever happened to improbable?

What is a virtual DOM, and can we have SPA without it?

Check this out https://github.com/mxgmn/WaveFunctionCollapse

I'm interested about your project #2. As you mentioned B-splines do you deal with trimmed surfaces? Would you have any reading recommendations for someone learning about surface optimisation?

Interesting, although I believe most neural nets nowadays have moved to use linear (relu) activation, which again removes the need for exponent and would work really well with fixed point.

Here's a reference using 16-bit fixed point neural nets http://ieeexplore.ieee.org/document/7011421/?part=1

I have encountered many real world cases where I needed less precision/range than what float/double had available. But usually I found fixed point was a better solution than reduced precision floats. I wonder what applications are there that can deal with reduced precision but somehow still need the range you get with an exponent?

I wonder about Improbable?

According to the article, being preempted by the kernel is too expensive because of the context switch userland<>kernel. I wonder if its possible to implement the same preemptive mechanism purely in userland, for example with a timer alarm and a signal handler using swapcontext or similar to achieve better performance?

You forgot improbable.

100+ teams for Skype on xbox?

This is wicked cool, nice work!

Location: London UK

Remote: No

Willing to relocate: No

Technologies: mostly C++, bits and pieces of Python and Java.

Résumé/CV: https://funchal.github.io/

Email: gafunchal AT gmail.com

I'm an experienced engineer who worked on a lot of different things in different industries. I have been doing a lot of product and people management recently. Looking for my next opportunity.

I'm an experienced C++ developer, but these days I mostly do management. I am looking for a new adventure as a team lead or manager with emphasis on technical delivery. I have worked on lots of things: research, electronics, embedded, high-performance, graphics, 3d printing and robotics.

Location: Central London, UK

Remote: No

Willing to relocate: Not immediately, maybe later

Technologies: C++, CUDA, Python, Agile/Scrum

Résumé/CV: http://funchal.github.io

Email: see above

Thank you

I've been team lead for about a year, tech lead before that for many years. Currently lead a team of 8 moving to new job managing 10-20 in multiple teams. Not very experienced, but not my first rodeo either.