Machine-independent image processing: performance of apply on diverse architectures
作者： Richard S. Wallace , Jon A. Webb , I-Chen Wu
DOI: 10.1016/S0734-189X(89)80041-6
关键词: Computer engineering 、 Image processing 、 Parallel processing (DSP implementation) 、 Code (cryptography) 、 Function (engineering) 、 Computer science 、 Multiprocessing 、 Artificial intelligence
摘要: One of the most important obstacles standing in way widespread use parallel computers for low-level vision is lack a programming language that can be mapped efficiently onto different computer architectures which suited vision. The Apply has been designed and implemented to perform such operations. We demonstrate its capabilities by comparing performance Hughes HBA, Carnegie Mellon Warp machine, Sun 3 on large set programs. In order efficiency, we also compare code with routines similar function written professional programmers.
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elsevier.com参考文章(4)
Jordan, Performance Comparison of Large-Scale Scientific Computers: Scalar Mainframes, Mainframes with Integrated Vector Facilities, and Supercomputers IEEE Computer. ,vol. 20, pp. 10- 23 ,(1987) , 10.1109/MC.1987.1663505
Leonard G.C. Hamey, Jon A. Webb, I-Chen Wu, An architecture independent programming language for low-level vision Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing. ,vol. 48, pp. 246- 264 ,(1989) , 10.1016/S0734-189X(89)80040-4
R.S. Wallace, M.D. Howard, HBA vision architecture: built and benchmarked IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 11, pp. 227- 232 ,(1989) , 10.1109/34.21791
Marco Annaratone, Emmanuel Arnould, Thomas Gross, HT Kung, Monica Lam, Onat Menzilcioglu, Jon A Webb, The Warp Computer: Architecture, Implementation, and Performance IEEE Transactions on Computers. ,vol. 36, pp. 1523- 1538 ,(1987) , 10.1109/TC.1987.5009502