There is also the GC improvement patch that is waiting for the 0.3 release,
which should help improve the GC performance. With better escape analysis,
it should be possible to reuse the garbage from vectorized expressions in a
loop in the next iteration, and significantly reduce GC load. It
Great write up! After some experiments I was able to reduce GC time from
65% to only 15% and see opportunities to do even better. Most important
things for me were:
1. Some BLAS functions (especially gemm!, which is pretty flexible).
2. Manual devectorization (@devec didn't work for my case).
On Monday, July 21, 2014 02:33:26 PM Andrei wrote:
I see one disadvantage of using these tools, however - they are much harder
to read. Are there any plans for automatic code optimization on compiler
level?
There are already many optimizations in place. But there's always more you
could do.
Could you please point me to where these optimizations take place? I see
some other transformations (like escape analysis, for example) happening in
codegen, are there any other places I should look at?
On Mon, Jul 21, 2014 at 2:43 PM, Tim Holy tim.h...@gmail.com wrote:
On Monday, July 21,
Julia-syntax.scm (code lowering to ssa form) and type inference in base (type
propagation, data flow analysis, inlining) are other places where julia
performs compiler optimizations.
codegen is a big one, as are inference.jl, gf.c, and cgutils.cpp. But there
are optimization sprinkled throughout (e.g., ccall.cpp).
You might be interested in this:
https://github.com/JuliaLang/julia/issues/3440
Most of the optimizations so far are low level; most of the higher-level stuff
InplaceOps.jl is another package that can help: it substitutes some
matrix operations with their mutable BLAS-based equivalents.
On 21 July 2014 10:10, Tim Holy tim.h...@gmail.com wrote:
codegen is a big one, as are inference.jl, gf.c, and cgutils.cpp. But there
are optimization sprinkled
Thanks a lot for all your answers! Now I need to take a break to learn all
these cool stuff and get prepared to such a bright future :)
On Mon, Jul 21, 2014 at 11:03 PM, Stefan Karpinski ste...@karpinski.org
wrote:
Automatic, general loop fusion is something that we want to make possible
and
Dahua Lin's post at http://julialang.org/blog/2013/09/fast-numeric/
might be helpful.
On Sunday, July 20, 2014 11:41:19 AM UTC-4, Andrei Zh wrote:
Recently I found that my application spends ~65% of time in garbage
collector. I'm looking for ways to reduce amount of memory produced by
