Pollard's kangaroo ECDLP solver

[bigvito19]

256 card x Tesla V100 32GB is close to or around 300 billion keys per second. I'm going after a 256 bit key with cpu now.

Can 256 card x Tesla V100 32GB try with 64 bit puzzle #64 still can not crack in one day.

and still can not crack 120 bit puzzle #120 by kangaroo

need to discover other algorithms more

No, it would take up to 2 years or a little bit more to search the whole space of 2^64 with 256 card x Tesla V100 32GB.

[NotATether]

256 card x Tesla V100 32GB is close to or around 300 billion keys per second. I'm going after a 256 bit key with cpu now.

Can 256 card x Tesla V100 32GB try with 64 bit puzzle #64 still can not crack in one day.

and still can not crack 120 bit puzzle #120 by kangaroo

need to discover other algorithms more

No, it would take up to 2 years or a little bit more to search the whole space of 2^64 with 256 card x Tesla V100 32GB.

Why are people still mass-buying V100s to throw at Kangaroo, when it doesn't have a deficiency like Bitcrack has?

IMO, it makes sense to splash on T4 or A100 cards which are fraction faster than the V100.

Or is it because most vendors are still stuck selling V100 GPUs and don't want to invest on newer GPUs? It's the only way you could possibly get a hold of 256 V100s in the first place.

[bigvito19]

last night I test run kangaroo python script version all night with puzzle #120 it is not work good

Did you really think you would solve it overnight running a slower python script??

For each tame, there is a wild to solve the key. If you would stop mixing hex with decimal I would try to explain it better but I'm not going to convert them back and forth. I'm still not 100% sure what you do not understand or what you are trying to figure out. But I will tell you, you may get lucky and solve the key using python script only using a CPU but the odds are low; on average it would take thousands of years to solve.

Do you know how many pairs of tames + wilds can solve a key in a given range or is it just 1 pair that can solve a key?

[WanderingPhilospher]

last night I test run kangaroo python script version all night with puzzle #120 it is not work good

Did you really think you would solve it overnight running a slower python script??

For each tame, there is a wild to solve the key. If you would stop mixing hex with decimal I would try to explain it better but I'm not going to convert them back and forth. I'm still not 100% sure what you do not understand or what you are trying to figure out. But I will tell you, you may get lucky and solve the key using python script only using a CPU but the odds are low; on average it would take thousands of years to solve.

Do you know how many pairs of tames + wilds can solve a key in a given range or is it just 1 pair that can solve a key?

I'm not 100% sure but if you use DP = 0 (meaning every point would be saved) then I would say every tame has a wild that would solve the key.  If one used a different DP, then it would depend on how many of those DPs exist in the range. Example, if one used DP 32, in a 2^64 range, for every tame DP of 32, then there would probably be a wild DP of 32 to solve the key.

[WanderingPhilospher]

256 card x Tesla V100 32GB is close to or around 300 billion keys per second. I'm going after a 256 bit key with cpu now.

Can 256 card x Tesla V100 32GB try with 64 bit puzzle #64 still can not crack in one day.

and still can not crack 120 bit puzzle #120 by kangaroo

need to discover other algorithms more

No, it would take up to 2 years or a little bit more to search the whole space of 2^64 with 256 card x Tesla V100 32GB.

Why are people still mass-buying V100s to throw at Kangaroo, when it doesn't have a deficiency like Bitcrack has?

IMO, it makes sense to splash on T4 or A100 cards which are fraction faster than the V100.

Or is it because most vendors are still stuck selling V100 GPUs and don't want to invest on newer GPUs? It's the only way you could possibly get a hold of 256 V100s in the first place.

I don't know anyone mass buying V100s; it is just the example used to solve #120 because that is the type and number of cards that were used to solve #110 and #115.

[NotATether]

I don't know anyone mass buying V100s; it is just the example used to solve #120 because that is the type and number of cards that were used to solve #110 and #115.

I feel like #120 is going to be solved by large numbers of older cards lying around in people's garages somewhere, rather than with anything that can be rented with AWS or Vast. Even 100 of any high-end card just seems too expensive for someone with deep pockets to rent in the long run and you can get better results searching with a few thousand of people's Maxwell and Pascal cards (and even Radeons if Kangaroo ever gets ported to OpenCL).

[WanderingPhilospher]

I don't know anyone mass buying V100s; it is just the example used to solve #120 because that is the type and number of cards that were used to solve #110 and #115.

I feel like #120 is going to be solved by large numbers of older cards lying around in people's garages somewhere, rather than with anything that can be rented with AWS or Vast. Even 100 of any high-end card just seems too expensive for someone with deep pockets to rent in the long run and you can get better results searching with a few thousand of people's Maxwell and Pascal cards (and even Radeons if Kangaroo ever gets ported to OpenCL).

Well, it will be me so I can tell you they are all RTX 20xx and 30xx, but I am using 1 GTX 1060 and 1 GTX 1050Ti to do the tedious work.  

Zielar has/has access to 300+ of the V100s; and he is the one who solved 110 and 115, so that is just kind of the benchmark used to compare how long to solve 120.

EDIT: I'm not running it full time, just here and there, so anyone really has a chance.

[NotATether]

Zielar has/has access to 300+ of the V100s; and he is the one who solved 110 and 115, so that is just kind of the benchmark used to compare how long to solve 120.

Man I wonder where he gets all those V100s from.

[MrFreeDragon]

Zielar has/has access to 300+ of the V100s; and he is the one who solved 110 and 115, so that is just kind of the benchmark used to compare how long to solve 120.

Man I wonder where he gets all those V100s from.

It is better to ask Zielar directly. For sure he had access to 300+ GPUs. But we are not sure he owned them by himself, it was also possible he used the "company's assets".

Why is this important for you?

[WanderingPhilospher]

I want to work with a programmer who can weave kangaroos.
I made a calculator that can calculate the public key.
https://bitcointalk.org/index.php?topic=5334592.0

How would this help finding the private key?

[NotATether]

It is better to ask Zielar directly. For sure he had access to 300+ GPUs. But we are not sure he owned them by himself, it was also possible he used the "company's assets".

Why is this important for you?

I was just curious that's all, I don't really feel like bothering him just for a trivial question like that.

[math09183]

2548/2 = 1274
2548/10 = 254.8
2548/100= 25.48
2548/1000= 2.548

next
10 - 2.548 = 7.452
....

Looks like a math from primary school  
Do you write in English by yourself or you use translator? It is difficult to understand you because you do not use full sentences, just a few words all the time.
At the end - what do you say you are able to accomplish? Find private key from public key (on any range)? What database you have - database of public keys in some range? Please, for the moment, think what you want to write and write it down slowly and carefully, maybe use google translator if you need.

It is also possible to track how much the first digit of the password is.

 

[bigvito19]

I don't know anyone mass buying V100s; it is just the example used to solve #120 because that is the type and number of cards that were used to solve #110 and #115.

I feel like #120 is going to be solved by large numbers of older cards lying around in people's garages somewhere, rather than with anything that can be rented with AWS or Vast. Even 100 of any high-end card just seems too expensive for someone with deep pockets to rent in the long run and you can get better results searching with a few thousand of people's Maxwell and Pascal cards (and even Radeons if Kangaroo ever gets ported to OpenCL).

Well, it will be me so I can tell you they are all RTX 20xx and 30xx, but I am using 1 GTX 1060 and 1 GTX 1050Ti to do the tedious work.  

EDIT: I'm not running it full time, just here and there, so anyone really has a chance.

When you run kangaroo what are the speeds on the GTX 1060 and GTX 1050Ti?

[fxsniper]

When you run kangaroo what are the speeds on the GTX 1060 and GTX 1050Ti?

I use GTX 1050 not Ti  on laptop  speed 120-150M

GPU: GPU #0 GeForce GTX 1050 (5x128 cores) Grid(10x256) (32.0 MB used)
SolveKeyGPU Thread GPU#0: creating kangaroos...
SolveKeyGPU Thread GPU#0: 2^18.32 kangaroos [2.3s]
[204.56 MK/s][GPU 165.57 MK/s][Count 2^30.02][Dead 0][07s (Avg 01:28)][34.6/68.0MB]

GTX 1050 and  GTX 1050Ti  is difference right

GTX 1050Ti may be double speed to high more 50%

[bigvito19]

When you run kangaroo what are the speeds on the GTX 1060 and GTX 1050Ti?

I use GTX 1050 not Ti  on laptop  speed 120-150M

[204.56 MK/s][GPU 165.57 MK/s][Count 2^30.02][Dead 0][07s (Avg 01:28)][34.6/68.0MB]

GTX 1050 and  GTX 1050Ti  is difference right

GTX 1050Ti may be double speed to high more 50%

Ok, the 204.56 MK/s and 165.57 MK/s are those 2 speeds are added together to equal 370.13 MK/s?

[NotATether]

Ok, the 204.56 MK/s and 165.57 MK/s are those 2 speeds are added together to equal 370.13 MK/s?

No. The first value on the left is the combined speed of both the CPU and GPU.

The second value (165) is measuring the GPU speed only. it means the CPU speed is actually about 39 MK/s.

[bigvito19]

Ok, the 204.56 MK/s and 165.57 MK/s are those 2 speeds are added together to equal 370.13 MK/s?

No. The first value on the left is the combined speed of both the CPU and GPU.

The second value (165) is measuring the GPU speed only. it means the CPU speed is actually about 39 MK/s.

Oh ok then, so what gpu's can go at least or close to 1 billion keys with kangaroo?

[NotATether]

Ok, the 204.56 MK/s and 165.57 MK/s are those 2 speeds are added together to equal 370.13 MK/s?

No. The first value on the left is the combined speed of both the CPU and GPU.

The second value (165) is measuring the GPU speed only. it means the CPU speed is actually about 39 MK/s.

Oh ok then, so what gpu's can go at least or close to 1 billion keys with kangaroo?

A single RTX3090 can do 3 or 4 gigakeys/s, so it's not unreasonable to assume the other RTX 30s can search in excess of 1GK/s too.

[bigvito19]

Ok, the 204.56 MK/s and 165.57 MK/s are those 2 speeds are added together to equal 370.13 MK/s?

No. The first value on the left is the combined speed of both the CPU and GPU.

The second value (165) is measuring the GPU speed only. it means the CPU speed is actually about 39 MK/s.

Oh ok then, so what gpu's can go at least or close to 1 billion keys with kangaroo?

A single RTX3090 can do 3 or 4 gigakeys/s, so it's not unreasonable to assume the other RTX 30s can search in excess of 1GK/s too.

What about the RTX 20s?

[NotATether]

What about the RTX 20s?

Never had one so don't have numbers for it. Even the RTX3090 speed was measured from one of my client's box so I don't have that either.