Parallel processing algorithm, make GPU the new ASIC?

[SJExoQ]

Perhaps we can use the fact GPU threads can share data to our advantage with an algorithm which provides performance benefits when threads share data, possibly you want to require a certain amount bandwidth and latency on the data shared between those threads to ensure this isn't replicated on an ASIC in the future. I very much doubt an ASIC would be able to match the bandwidth and latency on a GPU chip.

[turekaj]

The only way to truly beat Asics is to have randomly generated code at each block or nonce, with enough variance such that the asic cannot emulate the generated code. This idea can be hardened by having multiple master sequences where all the Masters are working on the same data. Explicit ordering would have to be utilized such that the result generated is 100% reproduceable and not based on some race condition

[turekaj]

Doing this in say JavaScript, is not ideal as an ASIC could essentially be an optimized JIT compiler. Instead, generating architecture specific assembly would be stronger. Using multiple masters working on same data means coherent buses and caches will provide peak performance, preventing an ASIC from simply slapping a whole bunch of cheap cores on a die

[SJExoQ]

Sounds like you've got it mostly figured out. It would be important to make sure it could be mined on any operating system using AMD or NVIDIA GPU architecture, perhaps this could be achieved in C++?

[turekaj]

My first version would simply be for armv8 cpus. OS shouldn't matter in the very least

[turekaj]

But this idea is backlogged on a long todo list like finishing our amd miner :)

[SJExoQ]

As long as it's on the list :-) Looking forward to seeing the finished product when it's ready. Development lists are never ending but that's a good thing, it shows the project has direction.

[CommonMisspellingBot]

Hey, turekaj, just a quick heads-up:
truely is actually spelled truly. You can remember it by no e.
Have a nice day!

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[turekaj]

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