Multidimensional DSP with GPU acceleration: Difference between revisions

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{{AFC submission|t||ts=20151031094109|u=Sing0512|ns=118}} <!--- Important, do not remove this line before article has been created. --->
 
[[General-purpose computing on graphics processing units|General purpose graphics processing units (GPGPUs)]] have excellent throughput on vector operations and numeric manipulations by high degree of parallel computation. While processing digital signals, particularly multidimensional signals, often involves in massivea amountseries of vector operations withon highmassive computationamount complexityof independent samples, GPGPUs are now widely employed to accelerate multidimensional [[Digital signal processing|digital signal processing (DSP)]], such as [[image processing]], [[Video processing|video codec]], [[Radar signal characteristics|radar signal analysis]], [[sonar signal processing]], and [[Ultrasound scan|ultrasound scanning]]. Theoretically, using GPGPU devices to perform multidimensional DSP is able to dramatically reduce the computation complexity compared with [[Cpu|central processing units (CPUs)]], [[Digital signal processor|digital signal processors (DSPs)]], or other [[Field-programmable gate array|FPGA]] accelerators.