Configurable multi-layer CNN-UM emulator on FPGA

Z. Nagy, P. Szolgay
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引用次数: 77

Abstract

A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. In this paper the main steps of the FPGA implementation are introduced. Main results are as follows: CNN-UM architecture emulated on Xilinx Virtex series FPGA, 3D non-linear spatio-temporal dynamics can be implemented on this architecture. The critical parameters of the implementation in single layer configuration are 55 million cell update/second/processor core or equivalently 1 GOPS computing performance. In face of the high performance the power requirements of the architecture are relatively low only /spl sim/3 W per processor core. Using re-configurable devices to implement emulated digital architectures provides more flexibility compared to the custom VLSI designs because different Falcon architectures can be used on the same FPGA device.
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FPGA上可配置多层CNN-UM仿真器
开发了一种新的仿真数字多层CNN-UM芯片架构,称为Falcon。本文介绍了FPGA实现的主要步骤。主要研究结果如下:在Xilinx Virtex系列FPGA上对CNN-UM架构进行了仿真,实现了三维非线性时空动态。在单层配置中实现的关键参数是5500万单元更新/秒/处理器核心或相当于1 GOPS的计算性能。面对高性能,该架构的功耗要求相对较低,每个处理器核心只有/spl sim/3 W。与定制VLSI设计相比,使用可重新配置的器件来实现仿真数字架构提供了更大的灵活性,因为不同的Falcon架构可以在相同的FPGA器件上使用。
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