I've had the same errors on MacOS, Windows 10, and Linux using the
devices() do loop with CUDArt package. All of the programs I run I place
inside the outer do loop including all the repetitions because as soon as
that block ends I cannot use any other CUDA functions without some type of
point
While investigating this issue we found that CUDArt and CURAND may behave
differently on different platforms. Could somebody from user group with
enabled CUDA try the following code in Julia REPL and report:
* operating system
* whether this code succeeded or failed; if failed, then what is t
The original code in the OP fails for me but there is no problem with the one
you posted. Ubuntu machine.
Are you sure this is due to CUDArt? For me, this works as many times as I care
to try it (note that I'm not using CURAND):
using CUDArt
result = devices(dev->capability(dev)[1]>=2; nmax = 1) do devlist
device(devlist[1])
h = rand(Float32, 1000)
d_a = CudaArray(h)
a = to_host(d_a)
Interesting. I have the bug when using cublas.jl I haven't found a way to
initialize resources to avoid these errors but if I just use cudart on it's own
there aren't memory errors.
Interesting. I have the bug when using cublas.jl I haven't found a way to
initialize resources to avoid these errors but if I just use cudart on it's own
there aren't memory errors.
Interesting. I have the bug when using cublas.jl I haven't found a way to
initialize resources to avoid these errors but if I just use cudart on it's own
there aren't memory errors.
This should be solvable, but I've never used cublas myself. I'd recommend
filing an issue or pull request with that package.
--Tim
On Sunday, November 08, 2015 03:28:39 PM Jason Eckstein wrote:
> Interesting. I have the bug when using cublas.jl I haven't found a way to
> initialize resources to
if I load:
using CUDArt
using CURAND
and then I run either:
d_a = curand(Float64, 1000);
a = to_host(d_a);
OR:
result = devices(dev->capability(dev)[1]>=2) do devlist
end
I can repeat the block as many time I want.
However if I run both combined (or alternatedly in any order):
d_a = curand(F
> But I can replicate the bug if I use CURAND. I'd suggest filing an issue
> with
> that package. Most likely it needs to (and, you need to) initialize
> resources
> according to these instructions:
> https://github.com/JuliaGPU/CUDArt.jl#initializing-and-freeing-ptx-modules
>
>
CURAND.jl i
See the code in src/device.jl that implements the do-block syntax (especially
functions that take a function as their first argument). It's not a big file,
so
shouldn't be too hard to figure out what's happening.
--Tim
On Tuesday, November 10, 2015 02:16:52 PM Andrei Zh wrote:
> > But I can re
It didn't throw any errors for me.
julia> versioninfo()
Julia Version 0.4.2-pre+1
Commit b8b3517* (2015-11-08 10:37 UTC)
Platform Info:
System: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandy
On Tue, Nov 24, 2015 at 8:03 PM, Kristoffer Carlsson
wrote:
> The original code in the OP fails for me
Yes, this is expected behavior: for convenience, CURAND.jl creates default
random number generator, which obviously becomes invalid after
`device_reset()`. At the same time, my last code snipp
6.5
--Tim
On Wednesday, November 25, 2015 01:37:22 AM Andrei wrote:
> On Tue, Nov 24, 2015 at 8:03 PM, Kristoffer Carlsson
> wrote:
> > The original code in the OP fails for me
>
> Yes, this is expected behavior: for convenience, CURAND.jl creates default
> random number generator, which obviou
7.5 here
Interesting, both my machines (windows and mac) have CUDA 7.0, possibly
thats the issue, since the C code in
https://github.com/JuliaGPU/CURAND.jl/issues/3#issuecomment-159319580 fails
in both.
If some linux user could test this version, our statistics would be more
complete. I will try 6.5 an
It works fine here, on Ubuntu 14.04 and CUDA 6.5.
Cheers,
[S].
On Tuesday, November 24, 2015 at 9:30:32 PM UTC-2, Joaquim Masset Lacombe
Dias Garcia wrote:
>
> Interesting, both my machines (windows and mac) have CUDA 7.0, possibly
> thats the issue, since the C code in
> https://github.com/
@Joaquim Would it be possible for you to upgrade or donwgrade your CUDA
version?
Meanwhile, we are still waiting for other people with Windows or Mac :D
On Wed, Nov 25, 2015 at 6:35 PM, Sergio Muniz wrote:
> It works fine here, on Ubuntu 14.04 and CUDA 6.5.
>
> Cheers,
> [S].
>
>
>
>
> On Tuesd
Wow! it seems that something is wrong in CUDA 7.0 !
I updated my MAC to cuda 7.5 and bith the C code and julia code worked fine!
This other guy:
http://stackoverflow.com/questions/33904554/curand-error-while-alternating-with-device-initialization-and-reset-in-cuda-7-0?noredirect=1#comment55573150_
And it also works on windows if CUDA version is 7.5!
On Wed, Nov 25, 2015 at 7:58 PM, Joaquim Masset Lacombe Dias Garcia <
joaquimdgar...@gmail.com> wrote:
> Wow! it seems that something is wrong in CUDA 7.0 !
>
> I updated my MAC to cuda 7.5 and bith the C code and julia code worked
> fine!
> Th
Thanks for checking it! I'll update README for CURAND.jl
On Monday, December 7, 2015 at 8:56:36 PM UTC+3, Joaquim Masset Lacombe
Dias Garcia wrote:
>
> And it also works on windows if CUDA version is 7.5!
>
> On Wed, Nov 25, 2015 at 7:58 PM, Joaquim Masset Lacombe Dias Garcia <
> joaquim...@gmail
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