But flavor profilesI can buy better beer than you can brew at the store.
But flavor profilesI can buy better beer than you can brew at the store.
Buy one off Amazon to be delivered today.Building a Raspberry Pi image and the smallest memory card I have is 32gb.
I need an 8gb minimum. Kinda wasteful.
Buy one off Amazon to be delivered today.
Don't loonix too hard. It's why you paid for your UBIQUITI CLOUD KEY, after all.Building a Raspberry Pi image and the smallest memory card I have is 32gb.
I need an 8gb minimum. Kinda wasteful.
that's interesting. Tnx for the article. I want to create my own app one day. But I need to test new ideas first. I found info about POC, Prototype and MVP here https://spdload.com/blog/poc-vs-prototype-vs-mvp/ . They can influence the process of developmentToday's hilarious and awesome paper: doing arithmetic in DRAM directly by violating timing and clobbering rows together.
@Valve1138
So with this
GitHub - vorghahn/sstvProxy: An small flask app to proxy SSTV to most applications.
An small flask app to proxy SSTV to most applications. - GitHub - vorghahn/sstvProxy: An small flask app to proxy SSTV to most applications.github.com
And my Live247 TV account, I have a full tuner/guide in Plex now.
With this, you should be able to roll in your ARRRGH TV as well.Cool.
We've been using Channels DVR running on my Synology. It whack up the HDHomeRun's and my parents cable tv package.
"Object Oriented Programming" should become a punchline like "The Aristocrats!", given what I did with CUDA today.
CUDA is NVidia's library that supposedly enables general purpose computing on GPUs (NVidia GPUs, obv). The problem is that they didn't bother to make it work with all the std::<types>. That's a problem for me, because a lot of the work I do involves computation on std::complex, which is _particularly_ unsupported. They did their half-assed approach, by making a cuda complex class, but the library I work on is templated to allow users to choose their own ordinals/node/scalar types.
So, I had to implement an interceptor class to deal with the magic conversions between std::complex and cuComplex types.
What I don't get is how it compiled before - everything compiled down to bytecode fine, but when you ran it on a CUDA node, the unit tests would explode in a fiery ball of floating point errors.
It's difficult to be OOP when you have to have a library that runs both on GPU platforms and regular ones.All i just read is "i dont know how to program CUDA"
Don't you have a SAN to buy off the back of the Amazon truck and then complain about?Perhaps it's being confused with another type of CUDA, maybe a BarraCUDA.
Or y'know, NVidia could actually fix NVCC to not be a giant ball of shit.or "i dont know what CUDA is"
Cause it aint just "im gonna port my x86 code straight to cuda and have it work"