Multidimensional DSP with GPU acceleration: Difference between revisions

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To compute each element in {{math|'''C'''}} takes {{math|''m''}} multiplications and {{math|(''m'' - ''1'')}} additions. Therefore, with a CPU implementation, the time complexity to achieve this computation is ''Θ(n''<sup href="Category:GPGPU">''3''</sup>'')'' in the following C example''.'' However, we have known that elements in {{math|'''C'''}} are independent to each others. Hence, the computation can be fully parallelized by SIMD processors, such as GPGPU devices. With a GPGPU implementation, the time complexity reduces to ''Θ(n''<sup href="Category:GPGPU">''2''</sup>'')'' in the following OpenCL example''.''
 
=== Multidimensional Fast Fourier Transform Transform ===
{{empty section|date=November 2015}}
 
=== Multidimensional Convolution ===
 
== Real Applications ==