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Line 5: Modern [[General-purpose computing on graphics processing units\|general purpose graphics processing units (GPGPUs)]] are considered having excellent throughput on vector operations and numeric manipulations by high degree of parallel computation. While processing digital signals, particularly multidimensional signals, often involves in a series of vector operations on massive amount of independent data samples, GPGPUs are now widely employed to accelerate multidimensional DSP, such as [[image processing]], [[Video processing\|video codec]], [[Radar signal characteristics\|radar signal analysis]], [[sonar signal processing]], and [[Ultrasound scan\|ultrasound scanning]]. Conceptually, 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. == ~~Motivation~~Introduction == == Approaches == == Examples == ==References==

Multidimensional DSP with GPU acceleration: Difference between revisions