GPU computing for the Real Time Analysis
This demo does the followings steps:
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Read data arrays from a stream using the PacketLib
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for each data array:
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Allocate the GPU device memory
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Copy the data array in the GPU memory
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Extract the signal with the sliding window method, implemented in both CPU and GPU
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Test the results
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The GPU processing can be parallelized using the kernel index in the device function.
All Tests PASSED.
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