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Neural Chip SAND in online data processing of extensive air showers

机译:神经芯片SAND用于大量风淋的在线数据处理

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The neural chip SAND (Simple Applicable Neural Device) was designed to accelerate computations of neural networks at a very low cost basis, due to the fact that only few peripheral chips are necessary to use the neural network chip in applications. Four SAND-chips were implemented on one PCI-board. The board is highly usable for hardware triggers in particle physics. The performance of a SAND-PCI-board is 800 Mega Connections per Second due to four neuro-chips, each with four parallel 16 bit multipliers and 40 bit adders. SAND is able to implement feedforward neural networks with a maximum of 512 input neurons and three hidden layers. Kohonen feature maps and radial basis function networks may be also calculated. The application of the SAND-PCI-board is proposed for cosmic ray physics to allow online analysis of extensive air showers.
机译:由于只有很少的外围芯片在应用中使用神经网络这一事实,因此将神经芯片SAND(简单适用神经设备)设计为以非常低的成本加速神经网络的计算。在一块PCI板上实现了四个SAND芯片。该板可用于粒子物理学中的硬件触发。由于有四个神经芯片,每个SAND-PCI板的性能为每秒800兆连接,每个芯片具有四个并行的16位乘法器和40位加法器。 SAND能够使用最多512个输入神经元和三个隐藏层来实现前馈神经网络。还可以计算Kohonen特征图和径向基函数网络。提议将SAND-PCI板用于宇宙射线物理学,以在线分析大量的风淋。

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