PARTS可重构计算机上的实时立体视觉

J. Woodfill, B. V. Herzen
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引用次数: 227

摘要

本文描述了一种功能强大、可扩展、可重构的计算机,称为PARTS引擎。PARTS引擎由16个Xilinx 4025 fpga和16个1m ram组成。fpga以部分环形连接,每个fpga与两个相邻的ram相关联。sram与fpga紧密耦合,因此所有sram都可以并发访问。PARTS引擎安装在个人计算机或工作站的标准PCI卡上。在PARTS引擎上实现的第一个应用程序是立体视觉深度算法,该算法以每秒42帧的速度在320 × 240像素的图像上计算24个立体差异。在这种速度下,该引擎每秒执行大约23亿次risc等效操作,以每秒5亿字节的速率访问内存,每秒获得超过7000万点/spl时间/视差测量的吞吐量。
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Real-time stereo vision on the PARTS reconfigurable computer
The paper describes a powerful, scalable, reconfigurable computer called the PARTS engine. The PARTS engine consists of 16 Xilinx 4025 FPGAs, and 16 one-megabyte SRAMs. The FPGAs are connected in a partial torus-each associated with two adjacent SRAMs. The SRAMs are tightly coupled to the FPGAs so that all the SRAMs can be accessed concurrently. The PARTS engine fits on a standard PCI card in a personal computer or workstation. The first application implemented on the PARTS engine is a depth from stereo vision algorithm that computes 24 stereo disparities on 320 by 240 pixel images at 42 frames per second. Running at this speed, the engine is performing approximately 2.3 billion RISC-equivalent operations per second, accessing memory at a rate of 500 million bytes per second and attaining throughput of over 70 million point/spl times/disparity measurements per second.
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