There is a recent and ongoing discussion on the llvm maillinglist to expose
scatter and load operations as llvm
intrinsics http://thread.gmane.org/gmane.comp.compilers.llvm.devel/79936 .
- Valentin
On Monday, 1 December 2014 17:43:11 UTC+1, John Myles White wrote:
This is great. Thanks,
I'm really at loss for what to try here. I'm upgrading to git 2.0, but the
release notes doesn't seem to have changes that would break anything.
kl. 08:22:01 UTC+1 tirsdag 23. desember 2014 skrev Svaksha følgende:
On Tue, Dec 23, 2014 at 7:09 AM, SVAKSHA sva...@gmail.com javascript:
wrote:
I was wondering how Julia supports half precision operations? It seems it
does (more or less) but I'm not sure if there's a lot of type conversion
going on behind the scenes with associated overhead. Would it be more
efficient to store and crunch on Float32s?
julia rand(Float16,2,2) *
On Tue, Dec 23, 2014 at 9:10 AM, Ivar Nesje iva...@gmail.com wrote:
I'm really at loss for what to try here. I'm upgrading to git 2.0, but the
release notes doesn't seem to have changes that would break anything.
I dont think git should be able to break anything as julia works as
expected with
On Tue, Dec 23, 2014 at 11:55 AM, SVAKSHA svak...@gmail.com wrote:
On Tue, Dec 23, 2014 at 9:10 AM, Ivar Nesje iva...@gmail.com wrote:
I'm really at loss for what to try here. I'm upgrading to git 2.0, but the
release notes doesn't seem to have changes that would break anything.
I dont think
I suppose that the fft limitation is due fftw supporting only float32 and
float64.
I am not sure if simd supports float16. If not you should not expect any
speed gains.
Cheers
Tobi
Am Dienstag, 23. Dezember 2014 11:56:46 UTC+1 schrieb Mark B:
I was wondering how Julia supports half
Sorry if this has already been answered. Its about optional plotting
functionality in a package. More precisely I want to have some Winston /
Gtk based plotting things and some PyPlot plotting routines.
Is there a possibility to have submodules in a package so that the main
module can be used
To cleanly close a socket, use `close(::TCPSocket)`.
Also, you might want to check `isopen(::TCPSocket)` as the loop condition.
(the applicable version of `close` in the method table is
`close(::AsyncStream)`, because TCPSocket : AsyncStream)
On Tue, Dec 23, 2014 at 7:52 AM, Ben Arthur
How to convert TimeArrays do typical Julia Array (Matrix) ?
Paul
Doing computation with Float16 is slow -- most CPUs only have Float32
operations implemented in hardware, as well as conversion operations
between Float16 and Float32. The only efficient way is to keep the
values as Float32 for as long as possible, and only convert to Float16
when storing back to
Solved. Apparently this was not a git issue at all. Thanks for the
pointer Ivar - you were right that julia was running from another
directory, in this case the ppa nightlies by Elliot. Thanks for the
pointer and sorry about the noise.
SVAKSHA ॥ http://about.me/svaksha ॥
On Tue, Dec 23, 2014
Thanks, so the code is only executed when the module was previously loaded
right?
Am Dienstag, 23. Dezember 2014 16:10:55 UTC+1 schrieb tshort:
Not quite what you're asking, but see some discussions in this issue:
https://github.com/JuliaLang/julia/issues/2025
Particularly, see the note on
Interesting but it seems that the common SIMD instructions are indeed only
available for float32 an larger. This would have been a factor 2 that could
potentially reached.
Am Dienstag, 23. Dezember 2014 19:10:50 UTC+1 schrieb Erik Schnetter:
Doing computation with Float16 is slow -- most CPUs
Thanks, so the code is only executed when the module was previously loaded
right?
No, I believe that if the module is loaded in the future, the code is
executed then. The code is executed immediately if the module has been
previously loaded. See Mike's comments at that issue:
On 12/22/2014 07:19 PM, Hans W Borchers wrote:
This approach to count prime numbers based on tables is very
useful (for me), thanks.
There are more than 305 million primes in the interval
[1841378967856, 18500]. What am I doing wrong:
julia genprimes(1841378967856,
Related issue: https://github.com/JuliaLang/julia/issues/5942
I'm making a custom BandedMatrix data type that overrides setindex!, and
I want to use @inbounds:
@inbounds A[k,j]=4
The issue is that @inbounds doesn't seem to go inside the setindex! call.
Any idea to allow @inbounds to work? My solution is to add another call
ibsetindex!, but this makes
Can someone point me to examples of C code in Julia packages ? I am using
BinDeps to download two C++ libraries. After a lot of blind trial and error
I have a build.jl that does what I need. But, I need to write a c wrapper
for the C++ libraries. One idea is to have BinDeps handle the build,
Hi,
I am a *two days *old beginner for *Julia* and it seemed I can translate
*Matlab* code into Julia in a second (?) but the reality is always
different...
The goal for original *Matlab* code was to select eight time series data
files (matlab format) in a folder(directory) and run the data
As per .mat file, one thing I can say is,
Write a Matlab script to get a .csv data file from .mat.
Now Interface .csv file with your julia code.
On Wednesday, December 24, 2014 8:00:35 AM UTC+5:30, jspark wrote:
Hi,
I am a *two days *old beginner for *Julia* and it seemed I can translate
There is a package available for reading matlab .mat files (
https://github.com/simonster/MAT.jl)
For basic `dir()` functionality, Julia's `readdir()` may be sufficient for
you. For more complicated usages, Glob.jl pattern matching may come in
handy (https://github.com/vtjnash/Glob.jl)
On Tue
Hey John,
If you can explain a bit as to what you want to do with your libraries,
that would help. What I understand from you so far is that:
A) You have to C++ libraries that you are able to download and compile
B) You want to write a wrapper that sits between Julia and the C++, written
in C
Then you can use the methods described at
http://graphsjl-docs.readthedocs.org/en/latest/graphs.html#graph
http://www.google.com/url?q=http%3A%2F%2Fgraphsjl-docs.readthedocs.org%2Fen%2Flatest%2Fgraphs.html%23graphsa=Dsntz=1usg=AFQjCNHVoi5mCb8OfzJ8seHEQEjoCuoN9Q
to
extract/operate on
convert fails for parametric type unions, e.g.
julia immutable TC{T} end
julia immutable TD{T} end
julia typealias TCD{T} Union(TC{T}, TD{T})
Union(TC{T},TD{T})
julia convert{T}(::Type{TCD{T}}, x::TC) = Andreas
convert (generic function with 493 methods)
julia convert(TCD{Float64},
No, You've got a typo. But, be careful fixing it,
it may eat up all your memory.
A typo from copying. The problem is that first the memory error occurs
and on second call it returns an empty error.
julia genprimes(1841378967856, 18500)
ERROR: MemoryError()
in primescopy
25 matches
Mail list logo
