Optimize GPU code with nested pagemtimes
4 views (last 30 days)
Show older comments
Hello all,
I'm trying to speed up computation using the GPUs that are available to me. Right now I have two arrays, Q and W.
size(W) = (16 1 1000)
size(Q) = (16 16 1 2000)
I want to do a sudo-matrix multiplication M = W ' *Q*W to get size(M) = (1000 2000).
To do this I use two instances of pagemtimes which is able to utilize GPU. Here's the code
%%
tic
Sar_pm_gpu = zeros(num_psar_kept,2,size(shim_pm_gpu,3),'single','gpuArray');
for n =1:size(W,3)
inter_calc = pagemtimes(Q_gpu,shim_pm_gpu(:,1,n));
Sar_this_shim = squeeze(pagemtimes(shim_pm_gpu_left(:,:,n),inter_calc)); %in a test, this one is ~15% faster
[Sar_maxk, index_maxk] = max(Sar_this_shim);
Sar_pm_gpu(:,:,n)=[Sar_maxk,index_maxk];
end
With this code I get ~5x speedup vs running it on the cpu. However I'd expect it to be quite a bit faster than that. I then used nvidia-smi and the power consumption on the GPU was ~35W. For referance the resting power consumption is 30W so I don't think that this code is actually utilizing the GPU. If anyone sees a way to speed this up it would be much appriciated! (a explaination on why the GPU power consumption is so low with this posted code would also be much appriciated, I assume it has something to do with memory)
2 Comments
Accepted Answer
Matt J
on 28 Jul 2022
I don't think you need either a loop or a second pagemtimes call.
Wr=reshape(W,16,1000);
Qr=reshape(Q,16,16,2000);
M=sum(pagemtimes(Qr,Wr).*Wr,1);
M=reshape(M,1000,2000);
4 Comments
More Answers (0)
See Also
Categories
Find more on Kernel Creation from MATLAB Code in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!