numerical instabilites for GPU results
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I run this code
T=randn(10000,64);
data=randn(1000,64,10);
Tg=gpuArray(T);
datag=gpuArray(data);
res=zeros(10000,1000);
resg=gpuArray(res);
for i=1:10
res=res+T*data(:,:,i)';
end
for i=1:10
resg=resg+Tg*datag(:,:,i)';
end
resg=gather(resg);
norm(res-resg,'fro')/norm(res,'fro')
where I would expect "res" (CPU comptuted) and "resg" (GPU computed) to be the same, but they are not.
I am running this on a Tesla Card, i.e.
gpuDevice
ans =
parallel.gpu.CUDADevice handle
Package: parallel.gpu
Properties:
Name: 'Tesla C1060'
Index: 1
ComputeCapability: '1.3'
SupportsDouble: 1
DriverVersion: 3.2000
MaxThreadsPerBlock: 512
MaxShmemPerBlock: 16384
MaxThreadBlockSize: [512 512 64]
MaxGridSize: [65535 65535]
SIMDWidth: 32
TotalMemory: 4.2948e+09
FreeMemory: 4.0671e+09
MultiprocessorCount: 30
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 0
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
Methods, Events, Superclasses
3 commentaires
Réponse acceptée
Felix
le 20 Mai 2011
1 commentaire
James Tursa
le 20 Mai 2011
FYI, it is bad form to accept your own answer when Edric was the one that suggested updating your drivers.
Plus de réponses (1)
Edric Ellis
le 19 Mai 2011
I've just run this using R2011a on Linux and Windows using C1060 cards, and in each case the final "norm" calculation gives a result of around 2e-16. So, this should work! Could you post the output of running
parallel.internal.gpu.CUDADriverVersion
and
ver distcomp
4 commentaires
Sean de Wolski
le 14 Mar 2012
Copying Felix' first post with license censored:
Here it is:
parallel.internal.gpu.CUDADriverVersion
ans =
260.19.26
ver distcomp
-------------------------------------------------------------------------------------
MATLAB Version 7.12.0.635 (R2011a)
MATLAB License Number: ############
Operating System: Linux 2.6.30.10-105.2.23.fc11.x86_64 #1 SMP Thu Feb 11 07:06:34 UTC 2010 x86_64
Java VM Version: Java 1.6.0_17-b04 with Sun Microsystems Inc. Java HotSpot(TM) 64-Bit Server VM mixed mode
-------------------------------------------------------------------------------------
Parallel Computing Toolbox Version 5.1 (R2011a)
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