> These vulnerabilities affect many CPUs, including those from AMD, ARM, and Intel, as well as the devices and operating systems running them.
https://security.googleblog.com/2018/01/todays-cpu-vulnerabi...
144 karma · joined July 20, 2015
> These vulnerabilities affect many CPUs, including those from AMD, ARM, and Intel, as well as the devices and operating systems running them.
https://security.googleblog.com/2018/01/todays-cpu-vulnerabi...
I just made a bet that I could guess something out of ISA only. Going macro to describe what may be the issue. I'm just doing a guess work here.
I was not implying Intel has the same implementation as AMD, nor I was making a case for "this is like rowhammer"
This time it could be an AVX512 instruction (intel only) that leaks kernel address in a way or another.
I was talking from an ISA perspective. For eg, clflush may be implemented differently between Intel and AMD, it has the same effect on system RAM hence a shared exploit.
- edit - I checked Ryzen ISA, they support AVX2. So probably AVX512 is the issue.
I bet you within the foundations of AVX512 lies a nasty one that can't be patched with microcode update.
The equivalent in PoW world would be someone breaking in and leaving with all the GPUs of all the users of a pool, what I would consider not dooable for a large enough pool.
As I understand PoS, for security to be achieved, you need to be able to lose a non trivial amount of ether. I guess the 1K5 ETH is designed to stay roughly above 1 million USD of stake.
Maybe there is a need to create a "cooperative" of sorts hodling the eth of many users and running PoS thus rewarding the owners. (like a pool but safety would be way more of an issue compared to PoW)
I see a future where banks exchange value with 1coin=1USD to speed up transactions but not using the value of XRP.
Plus for a random user making an investment, XRP not been a public blockchain is a no go for me.
They can hardfork / print money as they please.
• Learn to write Ethereum dapps
• Tinker with modern GPUs on my QuadG5 under Linux.
`Metcalfe's law states that the value of a telecommunications network is proportional to the square of the number of connected users of the system (n2)` https://en.wikipedia.org/wiki/Metcalfe%27s_law
That said, I know some great software can be produced in Java, ElasticSearch been one on top of my mind.
If Security is the goal, nor CPP nor Java is great. Proven Haskell or Rust might be more of a valid option.
Apple is pushing metal and performance shaders, I would not bet on strong support from them keeping up to date drivers with performant ocl. I asked at wwdc17 about vulkan and they clearly do not want it on their platform.
The TF OpenCL issue is vocal on the repo. Yet to see progress for macos. https://github.com/tensorflow/tensorflow/issues/22
Last but not least there is an issue with the ocl support. It is (was?) done on linux using computeCPP, compiled to SPIR (Standard Portable Intermediate Representation). MacOS does not support SPIR at the moment.
My best guess would be to use IOMMU magic and hardware virtualization to hook a GPU to a linux VM with MacOS as a host.
I'll consider going back from chromium to FF on macOS after the mainstream release.
Happy to see some love going on for ff, which I used to love back then, BC (before chrome) era.
Hackers will develop better tooling for VM introspection or something in the near future dropping again the time between release and initial anti-drm patch.
As a concerned consumer who buys game on pc or ps4, knowing this I will pass on the PC version and buy a second hand PS4 version.
No way I'm upgrading my 3570k for the sake of a pointless virtualization overhead.
Tl;dr opensource or not, market share dictates supported archs.
The only difference been, you can try to build from the sources for your vintage hardware.
I actually liked the Curie chip, plenty of goodies in one die. From bluetooth LE to battery charger to accelerometer and gyro plus hardware acceleration for k nearest neighbor (cool for gesture recognition). All that on small form factor low energy die.
Plus, I _feel_ safer using a curie for IoT than just using a raspberry pi and never updating a linux distro.
https://hackaday.com/2017/06/19/intel-discontinues-joule-gal...
Given the nature of the project, a hackathon, sticking to the last computed FFTs and a notion of time was all we need to play with nice shader effects.
I'm currently playing with tensorflow on my spare time. I'd like to use a neural net to find interesting features of a track and inputting this to a shader. That's what I would do if I had another go at it.
Haha also fulmicoton between other things. Love these books and the pragmatic approach to solve the problem at hand.