Whoo hoo!

After replacing all the Dict's with appropriate composite types, I got an
additional ~4x speed improvement. Combined with my previous work, the code
is now 30x faster than the original. So now Julia should at least match
Matlab. I uploaded the modified code to GitHub:

https://github.com/dcarrera/sim

Cheers,
Daniel.


On 20 September 2015 at 16:08, Tim Holy <[email protected]> wrote:

> String is not a concrete type. Consider ASCIIString or UTF8String.
>
> But if you don't need the flexibility of a Dict, a composite type will be a
> huge improvement.
>
> --Tim
>
> On Sunday, September 20, 2015 03:55:43 PM Daniel Carrera wrote:
> > Hi Steven,
> >
> > I am not the OP, I am trying to help the OP with his code. Anyway, the
> > first thing I did was replace Dict{Any,Any} by the more explicit
> > Dict{String,Float64} but that didn't help. I did not think to try a
> > composite type. I might try that later. It would be interesting to figure
> > out why the OP's code is so much slower in Julia.
> >
> > Cheers,
> > Daniel.
> >
> >
> > On 20 September 2015 at 15:20, Steven G. Johnson <[email protected]>
> >
> > wrote:
> > > Daniel, you are still using a Dict of params, which kills type
> inference.
> > > Pass parameters directly or put them in (typed) fields of a composite
> > > type.
> > >
> > > (On the other hand, common misconception: there is no performance need
> to
> > > declare the types of function arguments.)
>
>

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