How to use GPU to speed up computation?

Question

MashalS 2024-2-19

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2083733-how-to-use-gpu-to-speed-up-computation

评论： Jonas 2024-3-11

% Define the paths to the three video files
videoPaths = {
    'F:\LIVE Video Quality Challenge (VQC) Database\LIVE Video Quality Challenge (VQC) Database\Video\A002.mp4',
    'F:\LIVE Video Quality Challenge (VQC) Database\LIVE Video Quality Challenge (VQC) Database\Video\A003.mp4',  
    'F:\LIVE Video Quality Challenge (VQC) Database\LIVE Video Quality Challenge (VQC) Database\Video\A004.mp4'  
};
% Define the folder to save the Excel files
outputFolder = 'F:\FEUsingFriquee_csvFiles\';
% Loop over the selected video files
for videoIdx = 1:numel(videoPaths)
    try
        % Open the current video file
        videoObj = VideoReader(videoPaths{videoIdx});
        numFrames = videoObj.NumFrames;
        % Initialize variables to store features
        allFriqueeFeats = [];
        % Create a parallel pool with 6 workers
        if isempty(gcp('nocreate'))
            parpool(6);
        end
        parfor frameIdx = 1:numFrames
            % Read frame
            frame = read(videoObj, frameIdx);
            % Extract features for the current frame
            friqueeFeats = extractFRIQUEEFeatures(frame);
            % Check if the size of features matches the number of frames processed
            if size(friqueeFeats.friqueeALL, 1) ~= 1
                continue; % Skip frames with inconsistent feature sizes
            end
            % Store features for this frame
            allFriqueeFeats = [allFriqueeFeats; friqueeFeats.friqueeALL];
        end
        % Organize features for output
        videoFeatures.allFriqueeFeats = allFriqueeFeats;
        % Define the filename for the current video
        [~, videoName, ~] = fileparts(videoPaths{videoIdx});
        filename = [videoName, '.xlsx'];
        % Full file path for the current video
        fullFilePath = fullfile(outputFolder, filename);
        % Write the feature matrix to Excel file
        writematrix(allFriqueeFeats, fullFilePath);
        % Delete the parallel pool
        delete(gcp);
    catch ME
        fprintf('Error processing video %d: %s\n', videoIdx, ME.message);
        continue; % Continue with the next video file
    end
end

I have to extract features for all frames of each video. the number of frames are 300 and features are 560. The time taken for each video is 8 hours or more and i have to extract feaatures of 500 videos. I have tried to create a pool and use parfor loop to utilize the GPU in order to reduce computation time. However, in task manager, GPU is not being utilized. I have NVIDIA GEFORCE 3050 RTX. How can i use GPU to reduce computation time ?

6 个评论
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MashalS 2024-2-26

Is it necessary to use inbuilt GPU compatible functions to utilize GPU? is there anyother way?

Jonas 2024-3-11

do i see that correctly that processing 1 frame only, needs 180s, meaning 3min?

starting with this profile, you may have a look into those function with a big dark band. if you need assistance, you may post those function and explain, what they should do, with is input / output etc.

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Answer 1

Catalytic 2024-2-26

2
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2083733-how-to-use-gpu-to-speed-up-computation#answer_1416603

Using the GPU in conjunction with parfor will not be productive unless you have a multi-GPU system and assign each parpool worker a different GPU. Otherwise, the workers will just compete for access to the same GPU bus.