On Mon, Feb 22, 2021 at 1:00 PM Grégory Vanuxem <[email protected]> wrote:
>
> Hi Waldek, all,
>
> If that matters, I know that Victor Shoup maintains a set of
> benchmarks that compares NTL vs Flint. He even spotted a recently
> introduced bug in Flint via his set (fixed since). If you want here is
> a link of some of his results : https://libntl.org/benchmarks.pdf.

flint nowadays does  multivariate polynomial operations (no Groebner
bases though), something
what NTL does not do at all.

>
> Cheers,
>
>
> Le sam. 20 févr. 2021 à 17:47, Waldek Hebisch
> <[email protected]> a écrit :
> >
> > On Wed, Oct 21, 2020 at 11:47:19PM +0200, Waldek Hebisch wrote:
> > > On Tue, Oct 20, 2020 at 08:50:27PM +0200, Waldek Hebisch wrote:
> > > > On Tue, Oct 20, 2020 at 02:40:32PM +0200, Ralf Hemmecke wrote:
> > > > > Hello,
> > > > >
> > > > > The attached file is code comes from the problem of creating  the
> > > > > algebraic closure of PrimeField(p) by dynamically extending with a 
> > > > > field
> > > > > with a new polynomial that does not completely factor. It basically
> > > > > works, but when I tried with the polynomials over GF(43) I realized 
> > > > > very
> > > > > long running times.
> > > > >
> > > > > The following maps this to FiniteField(43,84) (the splitting field of
> > > > > the 3 polynomials
> > > > >
> > > > > p3 := x^3 - 29
> > > > > p5 := x^5 - 29
> > > > > p7 := x^7 - 29
> > > > >
> > > > > When I factor them on my lapto I get:
> > > > >
> > > > > Time: 8.57 (EV) + 0.00 (OT) = 8.57 sec
> > > > > Time: 23.81 (EV) + 0.00 (OT) = 23.82 sec
> > > > > Time: 35.38 (EV) = 35.38 sec
> > > > >
> > > > > After analyzing where the time is spent I found that there is an
> > > > > exptMod(t1, (p1 quo 2)::NNI, fprod) call in ddfact.spad
> > > > > where t1 and fprod are polynomials of degree 1 and 7 (for the last 
> > > > > case)
> > > > > and (p1 quo 2)::NNI is
> > > > >
> > > > > 81343016389104495051429314429892710283748121052067002779751599748804821941
> > > > >     461709990823638183537929646810274525597886525946443695227097400
> > > > >
> > > > > Clearly, that is a huge number and the coefficients of the polynomials
> > > > > are (as elements of FF(43,84)) univariate polynomials of degree 83).
> > > > > So it is expected to take a while.
> > > > >
> > > > > However, I did the same computation with Magma in a fraction of a
> > > > > second. Is FriCAS so bad here? :-(
> > > >
> > > > One possible way is to create variant of FiniteField
> > > > which uses U32Vector as representation.  To say how
> > > > much speedup one would get one needs to implement it
> > > > and measure.
> > >
> > > I have implemented toy domain like this (just operations
> > > needed for test above).  On my machine it runs 3 times
> > > faster with default build.  With sbcl at highest
> > > optimization level it runs 4 times faster.  There
> > > is significant room for easy improvement as polynomial
> > > remainder U32VectorPolynomialOperations is rather slow.
> >
> > Just little more about possible speed.  I tried toy
> > problem as a benchmark:
> >
> > pF := PrimeField(nextPrime(10^7)) -- 10000019
> > uP := UnivariatePolynomial(x, pF)
> > pol := reduce(*, [x - (20 + 5*i)::pF for i in 1..84])
> >
> > On my computer (rather slow one) I get the following times
> > (in seconds):
> >
> > regular FriCAS factor       1.03
> > mfractor from MODFACT       0.018
> > flint                       0.009
> > NTL                         0.038
> >
> > Note: it is possible that I am using NTL incorrectly.  Namely,
> > NTL have a type for machine sized integers modulo prime, but
> > ATM I found no way to use polynomials of machine sized integers
> > modulo prime.  Also, for the test I compiled critical FriCAS
> > routines at safety 0 (most of the time extra safety checks
> > are cheap, but in low level code involved here they make
> > significant difference).
> >
> > As you can see there is possibility for 50 times speedup and
> > that brings us within factor of 2 to flint and is better than
> > my current NTL result.
> >
> > Concerning your original problem, degree 3 case in flint
> > took 0.08s, and in NTL about 1.2s.  Current regular FriCAS
> > factorizer needs 15.88s on my machine.  AFAICS using
> > similar methods like in MODFACT it should be possible
> > to have speed within factor 2-4 to flint.  Let me add
> > that there are other possiblities for faster arithmetic
> > over finite fields, but my impression is that flint
> > does not use them: basically it seems that flint
> > advantage is mainly due to better machine optimization
> > in gcc compared to sbcl.
> >
> > Looking again at the problem it is not clear what is the
> > intent.  Is the intent to benchmark finite field factorizer?
> > Then the example is somewhat atypical because polynomials
> > split into linear factors.  If the intend is to embed
> > smaller field into bigger one, then there are better
> > methods.  For example, factorizer spends some thime to
> > find out that polynomials split, this can be skipped
> > if we know this.  For purpose of embedding single
> > root should be enough, that is cheaper than finding
> > all roots.  In this case we know more: polynomial
> > will spilt over a subfield, so we can bias factoring
> > to effectively work in this subfield.  And working
> > in opposite direction may be cheaper: computing power
> > of single element with high probablity we will get
> > minimal polynomial for subfield, factoring this
> > polynomial over smaller field will give us embedding.
> > On my machine I need 0.92s to compite power and 0.3s
> > to compite minimal polynomial (which is of degree 3).
> > Both operations should allows significant speed-up
> > by using more efficient low level routines.
> >
> > --
> >                               Waldek Hebisch
> >
> > --
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>
>
>
> --
> __
> G. Vanuxem
>
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