Hi
I am running a parallel matrix transpose using Julia. When I run it on a
small matrix with small number of workers, it works fine, but as I increase
the size and the number of workers, it starts giving MemoryError() and
Broken pipe signals.
I have put the error stacktrace here :
https://g
Hi
I am facing a similar problem, so I am not starting a new thread.
julia> addprocs(6);
julia> b=rand(6,6);
julia> c=distribute(b,[1:6],(2,3))
#using the distribute function as mentioned in this thread
This does not work as expected. Firstly, the matrix is distributed among
the master process
Hi
I am unable to figure out what should I pass as input parameters to the
gemm! function. The function declaration asks for function BlasChar,
StridedVecOrMat. StridedMatrix. Are they same as a normal Char and Array?
--
Kapil
Hi
This is my first experiment with Julia and I wanted to share some results.
I have ported the STREAM benchmark (http://www.cs.virginia.edu/stream/) to
Julia. The code is available on github
(https://github.com/kapiliitr/JuliaBenchmarks/blob/master/streamp.jl).
I am getting the following perf
Hi
I get the following error when I start Julia
OpenBLAS: pthread_creat error in blas_thread_init function. Error code:11
I find a file with the name ".nfs0ba780820191" in the directory
containing my julia script and this file contains a copy of the file I last
ran.
I am unable to
Hi
I wrote the following benchmark and I got some weird results which I am
unsure of their correctness.
a=fill(1.0,1000);
b=fill(0.0,1000);
f()=@elapsed @parallel for i=1:1000
b[i]=a[i]
end
I get the following results-
julia> f()
0.001288817
julia> f()
4.0828e-5
julia> f(
Hi
I have the following piece of code and I am getting a setindex! error which
I am unable to figure out-
times = Array(Float64,(4,10)); # 4 X 10 matrix
a=fill(1.0,10);
c=fill(0.0,10);
times[1][1] = @elapsed @parallel for j=1:10
c[j] = a[j];
end
ERROR
Hi
I am unable to add processes to julia. I have tried using both "addprocs()"
and "julia -p ". I get the error-
ERROR: could not spawn
`/nethome/kagarwal39/julia-0.3.1/julia/usr/bin/./julia --worker --bind-to
130.207.126.99`: resource temporarily unavailable (EAGAIN)
in _jl_spawn at process.
ption on exception on exception
on exception on exception on exception on exception on exception on
exception on exception on exception on exception on exception on exception
on exception on WARNING: Unable to terminate all workers
What could be the issue ?
Regards,
Kapil Agarwal
Are there any working code examples to learn parallel computing using Julia
?
I have gone through the documentation and some videos, but either the
information is too less or outdated.
I am currently using Julia 0.4 and many of the things don't work as
mentioned in the videos or other tutorials
/qsub.jl
>>
>> On Sat, Oct 11, 2014 at 12:40 PM, Kapil wrote:
>>
>>> Hi
>>>
>>> I am using a cluster in which jobs are started on remote nodes are using
>>> qsub.
>>> How can I add these nodes while running Julia from the head node ?
&
Hi
I installed Julia on the head node of my cluster and logged into another
node using the qsub interactive mode. This loads my directory from the head
node on the remote node. However, when I tried to run Julia on that node,
it gives me the following error-
Target architecture mismatch. Pleas
Hi
I started Julia with 'julia -q -p 2' and then ran 'r = remote_call(2, +, 2,
2)' and I get 'ERROR: remote_call not defined'.
Please help me solve the issue.
I am using a machine with 16 cores.
Kapil
Hi
After installing Julia, I ran 'make testall' but it gave me errors. I have
attached the file containing errors.
How can this be fixed ?
Kapil
[32;1mJULIA[0m [37;1mtest/all[0m
signal (6): Aborted
gsignal at /lib64/libc.so.6 (unknown line)
abort at /lib64/libc.so.6 (unknown line)
init_
Hi
What I understand is that comparing Julia and MPI may not be a good option
as both of them have different internal implementations.
So Julia may be benchmarked against mpi4py and similar MPI ports ? Has such
benchmarking already been done ? If so, could you please share the results.
Another
to benchmark highly parallel
applications with Julia.
Actually, I am looking at Julia for a college project and have access to a
HPC cluster and am thinking to implement graph algorithms. I would
appreciate if you could give me some suggestions on my idea.
Thanks
Kapil
>
> > On Monday,
Hi
I am looking to benchmark some standard parallel algorithms using Julia. I
am thinking of comparing its performance with MPI and other parallel
programming paradigms. Although I couldn't find much on any existing
benchmarks, I was looking forward to any benchmarks that may have been done
by
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