Quote from: kTimesG on Today at 08:28:31 PM

Quote from: skedarve on Today at 07:53:36 PM

just use Numpy and u have your 250 million or more keys/second.

u need a lot of RAM.

Why stop at 250? Let's get that RAM to speed things up to 100 Gk/s or more. Numpy FTW!

On a single thread. Hell, actually let's dump numpy and do things in CPU machine code directly. I heard we can reach 70 Petakeys/s that way. There's this undocumented "h160" op-code that computes around 262144 hashes for an entire range of private keys, in a single clock instruction! Imagine doing this on 16 cores! It also works with hyper-threading, and turbo boost is enabled automatically for all cores if this secret instruction ends up on the CPU's stack instruction pointer register.

exactly my friend, i have not been working on this and it has had great success results in the simulation, when I finish we could do 1 00 000 000 000 000 000 000 000 keys/s this is a small reference it could be done even much more depending on the investment, currently i have little time to continue working on this my work consumes me and a few weeks ago I had my first baby, possibly in a few weeks I will share part of the code with you.

in case anyone wants to support the cause

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