You are right. What I mean, is that my Pollard Rho is completely
deterministic.

Times for ranges of numbers:

bitlength < 20
100 µs - 300 µs
20 < bit length < 40
around 3 ms
random numbers with bitlength ~1024
3 ms - 800 ms, depending on size of smallest prime factor
( for this post, in order to check, I  just made it factor the Mersenne
number 2^1117-1; it came up with the factor 53617 in 860 ms )





2015-11-04 20:57 GMT+01:00 Julia Users mailing list [via Julia Programming
Language] <[email protected]>:

> Do you mean you are factoring something other than random numbers, or do
> you mean your Pollard Rho is completely deterministic?
>
> It's not a good measure of performance to time just one factorisation with
> Pollard Rho, since you could just pick the parameters such that it
> essentially succeeds immediately. You should give times for a range of
> numbers.
>
> Bill.
>
> On 4 November 2015 at 18:55, janvanoort <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=30867&i=0>> wrote:
>
>> That's interesting. I have been working for a week now on a somewhat
>> improved
>> version of Pollard's Rho, by "feeding" it with something else than a
>> random
>> number, in order to take away the non-deterministic behaviour. My
>> implementation is written in Java 8 ( have had no time to port it to
>> Julia,
>> yet ), and factors 3^100+2 in about 800 milliseconds an a Xeon E3-1265L
>> with
>> 8 MB cache, on Linux ( Ubuntu Server ). If anyone's interested, feel free
>> to
>> ping me.
>>
>>
>>
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>> Sent from the Julia Users mailing list archive at Nabble.com.
>>
>
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