#4260: use LinBox as native matrix representation for dense matrices over GF(p)
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Reporter: malb | Owner: cpernet
Type: enhancement | Status: needs_review
Priority: major | Milestone: sage-4.7.2
Component: linear algebra | Keywords: linbox, linear algebra,
sd32
Work_issues: extend documentation | Upstream: N/A
Reviewer: | Author: Burcin Erocal, Martin
Albrecht, Rob Beezer
Merged: | Dependencies:
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Comment(by SimonKing):
I found that the time for computing echelon form became worse:
sage-4.6.2
{{{
sage: MS = MatrixSpace(GF(101),2000,2000)
sage: %time A = MS.random_element()
CPU times: user 0.17 s, sys: 0.03 s, total: 0.20 s
Wall time: 0.20 s
sage: B = MS.random_element()
sage: %time C = A*B
CPU times: user 8.35 s, sys: 0.07 s, total: 8.42 s
Wall time: 8.45 s
sage: %time A.echelonize()
CPU times: user 1.22 s, sys: 0.06 s, total: 1.28 s
Wall time: 1.38 s
}}}
sage-4.7.2.alpha2 with the patches and spkg from here:
{{{
sage: MS = MatrixSpace(GF(101),2000,2000)
sage: %time A = MS.random_element()
CPU times: user 0.19 s, sys: 0.03 s, total: 0.22 s
Wall time: 0.22 s
sage: B = MS.random_element()
sage: %time C = A*B
CPU times: user 1.16 s, sys: 0.02 s, total: 1.17 s
Wall time: 1.22 s
sage: %time A.echelonize()
CPU times: user 1.87 s, sys: 0.00 s, total: 1.87 s
Wall time: 1.92 s
}}}
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/4260#comment:16>
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