The mapping units can add a configurable offset to an AE stream, so that different address spaces can be made non-overlapping. The filtering units allow to select which events are routed to which destination.
All these functional units are interconnected using FIFOs (blue, striped).
圖示3顯示的是EPGA內部的框圖。以橙色展示的是串行AER、並行AER及USB三個接口。與其他接口不同，USB接口只直接處理有時間戳的地址；因此，在兩域之間我們需要有監控和排序裝置（綠色）。三個接口模塊之間的路由結構使AE可被選擇性地在三個接口之間路由。它也含有簡單的映射和過濾裝置。
該映射裝置可以對AE信息流添加壹個可配置偏移，這可避免不同地址空間的重疊。過濾裝置可允許個別事件選擇個別路由目的地。
所有這些功能裝置都通過FIFO相互連接（藍色，條紋）
ON THE IMPORTANCE OF FLOW-CONTROL
Here we compare the statistics of a Serial AER implementation with flow control and one that simply drops events.
With Flow-Control: Assume we have an event-consumer that can handle event rates up to 125MHz. Thanks to the flow-control scheme, the consumer can block the producer as necessary. In this example we choose a fairly strict requirement that an event is delivered with a delay of more than 1/KS at probability of less than 10-6.
Given a Poisson distributed3 producer, this means that the mean event rate of the producer can be up to 63.7% of the consumer event rate without violating our requirements.
Without Flow-Control: For comparison we assume a consumer that can handle event rates up to 125MHz, but if two or more events arrive within an 8ns (= 1/125MHz) time-slot all except the first one are dropped. The probability that an event is dropped shall be no more than 10-3. Under these circumstances a Poisson producer can then have a mean event rate of no more than 4.54% of the consumer rate.
Thus for our practical purposes flow-control gives us about one order of magnitude of actually usable event rate. In an experimental setup it also allows us to handle channel congestion either at the sender or the receiver side.
Further discussion of flow control in address event systems can be found in [9].
控制信息流量的重要性
我們在此把執行流量控制與沒流量控制的串行AER的統計進行比較。
有流量控制 –我們假設壹個能夠處理125 MHz事件率的事件消費者，流量控制方案可讓消費者在有必要時阻擋流量產生者。我們在本例子選用壹個相當嚴格的要求，輸送事件在概率小於10-6時延遲高於1/KS。
無流量控制 – 為了進行對比，我們也假設壹個能夠處理125 MHz事件率的事件消費者，但如果在8ns 時間片(=等於1/125MHz)之內兩個或更多的事件同時到達，除了第壹個事件外，其他的都會被刪除。事件被刪除的概率應不超過10-3。在此種情形之下，泊松產生者就能有不超過4.54%消費者率的平均事件率。
因此，從實用的角度，流量控制可給我們大約壹個數量級的實際可使用的事件率。在壹個實驗設備中，它也讓我們可以在發送或者接收方處理通道擁塞。
AE系統流量控制的更多討論，可以參閱[9]。
備註2：In this calculation the signal propagation speed for the SATA cables was assumed to be half the speed of light, a rather conservative estimate.
備註3：A Poisson distribution is probably an unsuitable assumption when looking at a longer typical AE sequence. But what is critical is the performance in event bursts. We here take the Poisson distribution for looking at such bursts, typical for address event systems. The mean event rate should then be interpreted as the mean event rate in event bursts.
備註2：在本計算方法裏，SATA線纜的信號傳輸速度被假設為光速的壹半，這是壹個相當保守的估算。
備註3：從較長的典型AE序列來看，泊松分布也許不是壹個適當的假設。但關鍵的是在時間爆發時的表現。在此，我們特以這種在AE系統中經常出現的爆發來觀察泊松分布。因此，平均事件率就應被理解為事件爆發的平均事件率。
V. RESULTS AND CONCLUSION
We have developed an AER interfacing board part of a generic AER communication system suitable for building complex multi-chip AE based systems.
五． 結果和結論
我們研發了壹個普通AER通信系統的接口主板，適用於創建基於AE的綜合多芯片系統。
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