An FPGA-accelerated partial image matching engine for massive media data searching systems

Takashi Shimizu, Y. Tomita, Hidetoshi Matsumura, Masahiko Sugimura, Hironobu Yamasaki, David Thach, T. Miyoshi, Takayuki Baba, Yasuhiro Watanabe, A. Ike
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引用次数: 1

Abstract

We propose and demonstrate an FPGA-accelerated partial-image-matching engine for massive media-data searching systems. To take advantage of FPGA, a highly parallelized and pipelined architecture with an application-specific calculation was adopted. Our prototype system achieves 32 times better runtime performance than a CPU-based solution.
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面向海量媒体数据搜索系统的fpga加速部分图像匹配引擎
我们提出并演示了一个fpga加速的部分图像匹配引擎,用于海量媒体数据搜索系统。为了充分利用FPGA的优势,采用了一种高度并行化和流水线化的架构,并针对具体应用进行了计算。我们的原型系统实现了比基于cpu的解决方案好32倍的运行时性能。
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