Multidimensional DSP with GPU acceleration: Difference between revisions

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Modern GPU designs are mainly based on [[SIMD]] computation paradigm. This type of GPU devices are so-called [[General-purpose computing on graphics processing units|general-purpose GPUs (GPGPUs)]].
 
GPGPUs are able to perform an operation on multiple independent data concurrently with their vector or SIMD functional units. With this nature, GPGPUs can be employed as DSP accelerators easily while many DSP problems can be dividedsolved intoby bunch of independent smalldivide-problems and-conquer resolved in parallelalgorithms.
 
== Programming Languages ==
 
== Examples ==