Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Dataflow-Based Mapping of Computer Vision Algorithms onto FPGAs | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2007 Article ID 49236 12 pages doi 2007 49236 Research Article Dataflow-Based Mapping of Computer Vision Algorithms onto FPGAs MainakSen 1 Ivan Corretjer 1 Fiorella Haim 1 Sankalita Saha 1 Jason Schlessman 2 Tiehan Lv 2 Shuvra S. Bhattacharyya 1 and Wayne Wolf2 1 Department of Electrical and Computer Engineering University of Maryland College Park MD 20742 USA 2 Department of Electrical Engineering Princeton University Princeton NJ 08544 USA Received 1 May 2006 Revised 8 October 2006 Accepted 9 October 2006 Recommended by Moshe Ben-Ezra We develop a design methodology for mapping computer vision algorithms onto an FPGA through the use of coarse-grain reconfigurable dataflow graphs as a representation to guide the designer. We first describe a new dataflow modeling technique called homogeneous parameterized dataflow HPDF which effectively captures the structure of an important class of computer vision applications. This form of dynamic dataflow takes advantage of the property that in a large number of image processing applications data production and consumption rates can vary but are equal across dataflow graph edges for any particular application iteration. After motivating and defining the HPDF model of computation we develop an HPDF-based design methodology that offers useful properties in terms of verifying correctness and exposing performance-enhancing transformations we discuss and address various challenges in efficiently mapping an HPDF-based application representation into target-specific HDL code and we present experimental results pertaining to the mapping of a gesture recognition application onto the Xilinx Virtex II FPGA. Copyright 2007 Mainak Sen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. .
