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Quote from: MrFreeDragon on October 19, 2020, 12:09:57 PM

Quote from: mamuu on October 19, 2020, 11:30:54 AM

-snip-
I have some functions in Python and it runs very slow compared to C.

The sage I want to do with the GPU is as follows

Code:

Pr = 115792089237316195423570985008687907853269984665640564039457584007908834671663

E = EllipticCurve (GF (P), [0,7])
N = E.order ()

G = E(55066263022277343669578718895168534326250603453777594175500187360389116729240,32670510020758816978083085130507043184471273380659243275938904335757337482424) # on E

T = E(26864879445837655118481716049217967286489564259939711339119540571911158650839,29571359081268663540055655726653840143920402820693420787986280659961264797165) # on E

numInt = 5646546546563131314723897429834729834798237429837498237498237489273948728934798237489723489723984729837489237498237498237498237498273493729847

numMod = numInt %N

numInv = pow(numMod ,N-2,N) # detail -> https://stackoverflow.com/questions/59234775/how-to-calculate-2-to-the-power-of-a-large-number-modulo-another-large-number

numMod * G
numMod * T

(T-G) * numInv

print (5*T)
print (2*G)

print (numMod * G)
print (numMod * (-G))

print (numMod * T)
print ((numMod-3) * (T-G))

Do you have any suggestions? What should I do ?
I wrote my question here because it is indirectly related to this project. Please forgive.

Hi! The slowest part in your python is inverse function. Try to implement gmpy2 inverse function (included in gmpy2) - it is C-based and very fast:

https://www.lfd.uci.edu/~gohlke/pythonlibs/#gmpy

You can find the details here: https://bitcointalk.org/index.php?topic=5245379.msg55214449#msg55214449

When using Python, I use FastEcdsa(https://github.com/AntonKueltz/fastecdsa) library and mathematics similar to Sage. But can I do the math faster? I want to understand.
The FastEcdsa Library is fast, but I don't know if it uses the gmpy2 you suggested. My python script uses 17% of the CPU as a result. I wanted to write with Anaconda (for GPU), but I could not find a gpu running as fast as C or I could not.

Thank you MrFreeDragon .

No. you can't be faster then GPU on your CPU.

if i explain your word in easy example commands for new gpu based develop application/repo, by jean luc or other developer, could be develop, or if any one know already developed can post links and refferance

here are some example aspected commands
./vs-pub -c -gpu -input in.txt -output out.txt -add 0250863AD64A87AE8A2FE83C1AF1A8403CB53F53E486D8511DAD8A04887E5B2352 #pubkey
./vs-pub -c -gpu -input in.txt -output out.txt -mul 123456789 # its privatekey in num (not hex)
./vs-pub -c -gpu -input in.txt -output out.txt -sub 0250863AD64A87AE8A2FE83C1AF1A8403CB53F53E486D8511DAD8A04887E5B2352 #pubkey
./vs-pub -c -gpu -input in.txt -output out.txt -sub 0250863AD64A87AE8A2FE83C1AF1A8403CB53F53E486D8511DAD8A04887E5B2352 -r (reverse like
02508... pubkey substract to all listed pubkey inside in.txt
-c is compressed pubkey
-u is uncompressed pubkey
-input is load of compressed/uncompressed pubkeys list
-output is results output to file
-r is reverse of sub ( listed pubkey in command minus(-) in.txt (pubkeys)

had any cuda dev worked on these commnand based some scripts ?

I haven't tried the command version.
but the last time I checked, there was a cuda-based large number library. development continued.

https://github.com/NVlabs/CGBN

I've been searching the Elliptic Curve Arithmetic library to experiment on cuda.