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Multidimensional DSP with GPU Acceleration : ウィキペディア英語版 | Multidimensional DSP with GPU Acceleration
Digital signal processing (DSP) is a ubiquitous methodology in scientific and engineering computations. However, practically, to DSP problems are often not only 1-D. For instance, image data are 2-D signals and radar signals are 3-D signals. While the number of dimension increases, the time and/or storage complexity of processing digital signal grows dramatically. Therefore, solving DSP problems in real-time is extremely difficult in reality. Modern 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 codec, radar signal analysis, sonar signal processing, and ultrasound scanning. Conceptually, using GPGPU devices to perform multidimensional DSP is able to dramatically reduce the computation complexity compared with central processing units (CPUs), digital signal processors (DSPs), or other FPGA accelerators. == Motivation == Processing multidimensional signals is a common problem in scientific researches and/or engineering computations. Typically, a DSP problem's computation complexity grows exponentially while the number of dimension increases. Notwithstanding, with a high degree of time and storage complexity, it is extremely difficult to process multidimensional signals in real-time. Although there are many fast algorithms (e.g. FFT) have been proposed in 1-D DSP problems, they are still not efficient enough to be adapted in high dimensional DSP problems. Therefore, it is still hard to obtain the computation results with digital signal processors (DSPs). Hence, a better solution of software algorithm or hardware architecture to accelerate multidimensional DSP computations is strongly required.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Multidimensional DSP with GPU Acceleration」の詳細全文を読む
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