On Thu, 20 Feb 2014 00:26:41 -0800 (PST)
Tobias Knopp tobias.kn...@googlemail.com
wrote:
Stefan, you got me, this looks like a nice proposal! One minor thing
is that these enum types shoud subtype from an abstract Enum type.
I am looking forward to this stuff.
+1 for that. It would be great
It also occurs to me that on Linux the first 1024 ports are restricted. Now
the send() was TO port 1024 and should not have tried to bind to 1024 which
would give EACCESS if not root.
On Wednesday, February 5, 2014 7:57:34 PM UTC, Bob Cowdery wrote:
Does the network i/o package support UDP as
Thank you for leading the investigation. After all it appears that things
are not that bad. Regarding your last question, have a look at line 104 in
linalg/matmul.jl. It not on the parser level, but here A_mul_Bt checks if A
and B are the same matrix and calls syrk in that case. I guess we could
That's very cool Andreas! Nothing like already having our own GE in
addition to LAPACK's.
On Thursday, February 20, 2014 5:45:28 PM UTC-5, andrew cooke wrote:
A broad and a narrow question...
If Julia supports the definition of new integer types can I define a new
type for a finite field
one more point. ronan, i don't know what you're using opensuse's build
service for, but there are issues at the moment with binary builds of
julia. see https://github.com/JuliaLang/julia/issues/5293 which if i
understand correctly, means that currently 0.3 cannot be pre-built on one
machine
To clarify, this only affects the precompiled standard library image,
sys.{so,dylib,dll}. Everything else is fine, and at the cost of startup
time you can delete this file (or use the `make dist` target) and
distribute the result.
On Saturday, February 22, 2014 5:31:25 AM UTC-6, andrew cooke
ah, thanks; i hadn't understood that.
On Saturday, 22 February 2014 11:43:34 UTC-3, Patrick O'Leary wrote:
To clarify, this only affects the precompiled standard library image,
sys.{so,dylib,dll}. Everything else is fine, and at the cost of startup
time you can delete this file (or use the
You can an EACCESS if you try to broadcast without enabling broadcast on
the socket first (see the unexported julia fuction for how to do that
without ccalling libuv directly). On Linux and OS X you also get the
correct error code, but that appears not to be the case on windows. I'll
have a look.
What version/platform are you running this on? I'm on Linux using Julia
master and everything prints normally for me.
On Saturday, February 22, 2014 8:21:18 AM UTC-6, Barry Andersen wrote:
I am beginning with julia. Here is a fibonacci series in julia.
code:
a, b = 1, 1
for i in [1:6]
I am converting some algorithms from Python/Numpy to Julia and have no idea
how to handle that Julia arrays are column major.
I have a matrix on disk (very large 10GB) and it is stored row major.
This is the natural representation in my application.
Now I want to solve a linear system of
Note that the global scope shouldn't matter much for performance in this case
because most of the time is spent in a function (* for sparse matrices)
When I use this code:
module IntModN
export @Zn
macro Zn(args...)
n = args[1]
@assert n 1 Zn, n must be 1
name = length(args) 1 ? args[2] : Z$n
@assert length(args) 3 Zn, too many args
println(n:$n/$(typeof(n)) name:$name/$(typeof(name)))
code = :(module $name
I am working on distributing a compute intensive task over a cluster in
Julia, using the pmap function. However, for several reasons I would like
to avoid having the master node used in the computation- is there a way to
accomplish this using the built in keyword, or will I need to rewrite
If there are other processors, pmap doesn't use the head node by default:
julia addprocs(2)
2-element Array{Any,1}:
2
3
julia pmap(x-myid(), 1:10)
10-element Array{Any,1}:
2
3
3
2
2
3
2
3
2
3
On Sat, Feb 22, 2014 at 5:50 PM, Micah McClimans also.also@gmail.comwrote:
I am
Curiously,
module ($name)
gives something more like I would expect, but then I have a malformed
module:
andrew@netbook:~/project/int-mod-n/src julia tests.jl
OpenBLAS : Your OS does not support AVX instructions. OpenBLAS is using
Nehalem kernels as a fallback, which may give poorer
This is driving e crazy. The following code works:
name = :bob
dump(:(module ($name) export bar; function bar() 3 end end))
@eval module ($name) export bar; function bar() 3 end end
println(bob.bar())
yet the dump appears identical to the malformed module in the earlier
code:
But... if you read those threads it seems that this is intentionally hard
to do.
So maybe I shouldn't be doing it.
I thought it would be neat to generate a module for integers module N, for
some N (so it's a parametric module). I guess really I only need to
generate a data type.
I *could*
On Saturday, February 22, 2014 7:21:18 AM UTC-7, Barry Andersen wrote:
I am beginning with julia. Here is a fibonacci series in julia.
code:
a, b = 1, 1
for i in [1:6]
println(i, , a)
n = a + b
a = b
b = n
end
output:
sometimes
julia fibonacci
1 1
2
julia
1
El viernes, 21 de febrero de 2014 16:03:19 UTC-6, Steven G. Johnson
escribió:
On Friday, February 21, 2014 9:02:48 AM UTC-5, David P. Sanders wrote:
OK, I think I have answered my own question: a Set is the good structure.
And to create a set from an array I can do something like
s =
El viernes, 21 de febrero de 2014 09:57:10 UTC-6, Kevin Squire escribió:
It's hard to answer without more information. Is this related to your
other, self-answered post, where you mention adding and deleting elements?
Yes, it's a simulation I'm working on, which is a particular kind of
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