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2018-06-15 11:26:07 +0200 | commented answer | @parallel Parallel Pollard-Rho Ok thank you for the advice! So there is no easy and quick solution to my problem? To have 4 CPUs work on a shared list and look for a matching element? |

2018-06-14 18:25:51 +0200 | commented answer | @parallel Parallel Pollard-Rho In my example, how can I realize that different CPUs are working on the same list looking for a match? |

2018-06-14 18:07:25 +0200 | commented answer | @parallel Parallel Pollard-Rho How can I implement that? Neither works. If I comment out the @parallel, my program has the same speed as with the @parallel. Something is not working... Where would I need toput the @fork decorator? (I'm really not that good a programmer.. and I don't seem to understand the parallel logic sage uses.) |

2018-06-14 17:46:08 +0200 | commented answer | @parallel Parallel Pollard-Rho the @fork does not seem to work either .. or I don't know how to implement it the right way.. Could you maybe explain a bit more about how to do this? |

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2018-06-14 16:27:09 +0200 | commented answer | @parallel Parallel Pollard-Rho How do I use fork? Do I just change the @parallel to @fork(4)? And how could I use 'threading'? If you have the time it would be really helpfull if you could explain this is some more detail!! (or an example?) But in any case thank you for the answer! |

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2018-06-13 13:47:04 +0200 | asked a question | @parallel Parallel Pollard-Rho I am currently working on the implementation of a parallelized Pollard-Rho algorithm. I want to use the @parallel command to The result of the function works. But I have the feeling that the parallelization does not work. I want my 4 CPU's to work parallel on a same list D looking for points until they find a match. But when I change the 6th line to so that all the CPU's do the same walk (since my step_linear function is deterministic), I get the same timing. So it seems that the parallization does not work... Also this program should work faster for a dist_prop>1. Since we put otherwise all points in the list, and then there is no need for a parallelization right? But my program gets slower the bigger the 'dist_prop' is. So I thought that might be due to a wrong use of the @parallel command. I hope someone can help me with the parallel problem! |

2018-06-08 18:38:46 +0200 | commented answer | @Parallel - how to use all CPUs Thank you very much! Where do I type the 'export' comment in? |

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2018-05-26 01:39:46 +0200 | asked a question | @Parallel - how to use all CPUs I am currently working on a parallelised implementation of Pollard-Rho. For the parallelization of the program I want to use @parallel. But how can I allow Sage to use all the CPUs I have? When I put what they propose in ''doc.sagemath.org/html/en/reference/parallel/sage/parallel/parallelism.html'' :
I get back:
But my computer has more. (Windows tells me: Processor: Intel(R) Core(TM)i5CPU M560 @2.67GHz 2.67 GHz). How do I activate these? |

2018-05-10 23:45:41 +0200 | asked a question | Twists of an Elliptic Curve over a Finite Field (secp256k1) I would like to calculate the twists of secp256k1 up to isomorphism (find one representative for the quadratic twist, and so on). Therefore I tried the function |

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