Time - frequency analysis using NVIDIA Compute Unified Device Architecture (CUDA)

被引：0
|
作者：
Kulpa, J. [1 ]
机构：
[1] Warsaw Univ Technol, Inst Elect Syst, Fac Elect & Informat Technol, PL-00665 Warsaw, Poland
来源：
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2009 | 2009年 / 7502卷
关键词：
Spectrogram; CUDA;
D O I：
10.1117/12.837990
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
The Digital Signal Processing (DSP) requires high computing power. Von Newman architecture reaches it's limits. To meet the high requirement of DSP algorithms the parallel processing techniques are being used. The paper presents an example of DSP application on NVIDIA graphic card using CUDA environment. The presented result shows the high effectiveness of multi-core graphical card in Digital Signal Processing. The processing time of the example spectrogram is reduced 10 times compared to Central Processing Unit (CPU) of the standard PC
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Parallel intelligent algorithm analysis of optimization arrangement on mistuned blades based on compute unified device architecture
    Zhao, Tianyu
    Li, Hongxin
    Sun, Huagang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 233 (06) : 2207 - 2218
  • [42] Optimization of compute unified device architecture for real-time ultrahigh-resolution optical coherence tomography
    Kim, Ji-hyun
    Aum, Jaehong
    Han, Jae-Ho
    Jeong, Jichai
    OPTICS COMMUNICATIONS, 2015, 334 : 308 - 313
  • [43] SOLUTIONS FOR OPTIMIZING THE MONTE CARLO OPTION PRICING METHOD'S IMPLEMENTATION USING THE COMPUTE UNIFIED DEVICE ARCHITECTURE
    Lungu, Ion
    Petrosanu, Dana-Mihaela
    Pirjan, Alexandra
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS, 2013, 75 (03): : 105 - 112
  • [44] Solutions for optimizing the monte carlo option pricing method's implementation using the compute unified device architecture
    1600, Politechnica University of Bucharest (75):
  • [45] High-Speed FDTD Simulation Algorithm for GPU with Compute Unified Device Architecture
    Takada, N.
    Shimobaba, T.
    Masuda, N.
    Ito, T.
    2009 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM AND USNC/URSI NATIONAL RADIO SCIENCE MEETING, VOLS 1-6, 2009, : 569 - +
  • [46] An Algorithm Based on Compute Unified Device Architecture for Estimating Covering Functionals of Convex Bodies
    Han, Xiangyang
    Wu, Senlin
    Zhang, Longzhen
    AXIOMS, 2024, 13 (02)
  • [47] Fast Automatic Fundus Images Registration and Mosaic Based on Compute Unified Device Architecture
    Wang, Yuliang
    Chen, Zhaoying
    Liu, Xianxi
    Shen, Jianxin
    2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, : 275 - 280
  • [48] FAST RECONSTRUCTION METHOD BASED ON COMMON UNIFIED DEVICE ARCHITECTURE (CUDA) FOR MICRO-CT
    Quan, Guotao
    Sun, Tangyou
    Deng, Yong
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2010, 3 (01) : 39 - 43
  • [49] Low-Cost, High-Speed Computer Vision Using NVIDIA's CUDA Architecture
    Park, Seung In
    Ponce, Sean P.
    Huang, Jing
    Cao, Yong
    Quek, Francis
    2008 37TH IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2008, : 137 - 143
  • [50] An improved method for the removal of ring artifacts in synchrotron radiation images by using GPGPU computing with compute unified device architecture
    Zhu, Leqing
    Wang, Dadong
    Wang, Huiyan
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2014, 26 (18): : 2880 - 2892
12345