Hi Chandra, Am Montag, 16. Juli 2018 07:33:03 UTC+2 schrieb chandra chowdhury: > > I want to calculate the determinant of a large matrix > with large entries. So it is taking time. In my machine, > I have 32 CPUs. Is it possible in Sage to use all CPUs > parallelly to find the determinant? >
You said in another post that you're working over the integers. So, you could try a multi-modular approach. If M is your matrix over the integers, then the documentation of M.determinant tells you that you can use M.determinant(algorithm='padic', proof=True) (or proof=False). Example: sage: M = random_matrix(ZZ,1000) sage: %time d2 = M.determinant(algorithm='padic') CPU times: user 25.5 s, sys: 484 ms, total: 25.9 s Wall time: 26.1 s sage: M._cache.clear() sage: %time d3 = M.determinant() CPU times: user 10.2 s, sys: 0 ns, total: 10.2 s Wall time: 10.2 s sage: M._cache.clear() sage: %time d4 = M.determinant(algorithm='padic', proof=True) CPU times: user 25.6 s, sys: 464 ms, total: 26.1 s Wall time: 26.1 s sage: d2 == d3 == d4 True So, at least in this case, the multi modular algoirthm is slower than the default algorithm (which uses Flint). But perhaps it helps in your case. Best regards, Simon -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at https://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/d/optout.
