计算机科学
现场可编程门阵列
控制重构
Virtex公司
像素
核(代数)
卷积(计算机科学)
计算机硬件
SIMD公司
计算机体系结构
嵌入式系统
并行计算
人工智能
人工神经网络
数学
组合数学
作者
Stefania Perri,Marco Lanuzza,Pasquale Corsonello,G. Cocorullo
标识
DOI:10.1016/j.micpro.2004.10.004
摘要
This paper presents a new fully reconfigurable 2D convolver designed for FPGA-based image and video processors. The proposed architecture operates on image pixels coded with different bit resolutions and varying kernel weights avoiding power and time-consuming reconfiguration. This is made possible by using new SIMD arithmetic modules purposely designed for the new circuit. When optimized for the XILINX VIRTEX device family, the convolver presented in this work requires just 18.4 ms to perform a 5×5 convolution on a 1024×1024 8-bit pixels image and dissipates only 102.1 mW/MHz. The new circuit can be exploited in all the real-time applications in which adaptive convolutions are required and it can be realized also in many other FPGA device families.
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