Re: [julia-users] Julia backslash performance vs MATLAB backslash

2015-01-06 Thread Tim Davis
, January 5, 2015 9:56:12 PM UTC+1, Viral Shah wrote: Thanks, that is great. I was wondering about the symmetry checker - we have the naive one currently, but I can just use the CHOLMOD one now. -viral On 06-Jan-2015, at 2:22 am, Tim Davis da...@tamu.edu wrote: oops. Yes, your

Re: [julia-users] Julia backslash performance vs MATLAB backslash

2015-01-06 Thread Tim Davis
packages, none of which currently meet the cross-platform build system requirements that Base Julia has. -Tony On Tuesday, January 6, 2015 1:13:55 PM UTC-8, Stefan Karpinski wrote: 2-clause BSD is basically MIT-equivalent, so that works. On Tue, Jan 6, 2015 at 2:49 PM, Tim Davis da

Re: [julia-users] Re: Julia backslash performance vs MATLAB backslash

2015-01-05 Thread Tim Davis
, January 6, 2015 12:31:34 AM UTC+5:30, Tim Davis wrote: The difference could be the BLAS. MATLAB comes with its own BLAS library, and the performance of the BLAS has a huge impact on the performance of UMFPACK, particularly for 3D discretizations. On Mon, Jan 5, 2015 at 6:21 AM, Ehsan

Re: [julia-users] Re: Julia backslash performance vs MATLAB backslash

2015-01-05 Thread Tim Davis
The difference could be the BLAS. MATLAB comes with its own BLAS library, and the performance of the BLAS has a huge impact on the performance of UMFPACK, particularly for 3D discretizations. On Mon, Jan 5, 2015 at 6:21 AM, Ehsan Eftekhari e.eftekh...@gmail.com wrote: I'm solving diffusion

Re: [julia-users] Julia backslash performance vs MATLAB backslash

2015-01-05 Thread Tim Davis
-viral On 06-Jan-2015, at 1:57 am, Tim Davis da...@tamu.edu wrote: That does sound like a glitch in the \ algorithm, rather than in UMFPACK. The OpenBLAS is pretty good. This is very nice in Julia: F = lufact (d[M]) ; F \ d That's a great idea to have a factorization object like