マルチコアCPUとGPUを併用した並列計算 / Parallel computing combined use of multi-core CPU and multi-GPU

2021 10 15
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更新时间：2021 10 16
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以下のプログラムをマルチコアCPUとGPUを併用して並列計算をしたいのですが、parpoolで並列プールを呼び出しても、マルチコアCPU物理コア数のみしか呼び出せません。どのように設定すればGPUを併用した並列計算をできるのでしょうか？
I would like to perform parallel computation of the following program by combined use of multi-core CPU and multi-GPU, but when I call the parpool('local'), MATLAB can only be called the multi-core CPU. How should I set it up so that I can do the parallel calculation by combined use of multi-core CPU and multi-GPU?
n = 10000;
m = 500;
v = zeros(1,n);
parpool('local');
parfor i=1:n
A = rand(1,m);
B = rand(m,1);
v(i) = A*B;
end
delete(gcp('nocreate'));

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Masanari DATEKYU
Masanari DATEKYU 2021-10-16
過去の質問から、以下のプログラムを実行 / From past questions, run the following program
n = 1000;
m = 500;
v = zeros(1,n);
parpool('local');
tic;
parfor i=1:n
if mod(i,16)==0
gpuDevice(1);
A = rand(1,m,'gpuArray');
B = rand(m,1,'gpuArray');
v(i) = A*B;
elseif mod(i,16)==1
gpuDevice(2);
A = rand(1,m,'gpuArray');
B = rand(m,1,'gpuArray');
v(i) = A*B;
elseif mod(i,16)==2
gpuDevice(3);
A = rand(1,m,'gpuArray');
B = rand(m,1,'gpuArray');
v(i) = A*B;
elseif mod(i,16)==3
gpuDevice(4);
A = rand(1,m,'gpuArray');
B = rand(m,1,'gpuArray');
v(i) = A*B;
else
A = rand(1,m);
B = rand(m,1);
v(i) = A*B;
end
end
toc
delete(gcp('nocreate'));
Result：CPU → 0.39sec、CPU＋GPU→50sec
GPU使用量が増えたためGPU並列計算が可能となったが、何故か実行時間がCPUよりも劇的に増えた。
Parallel computation by combined use of multi-core CPU and multi-GPU can be done because of the increased GPU usage, but processing time of CPU+GPU is more dramatically long than the only multi-core CPU

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