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In-Memory Computing with TCAM for Packet Identification in the Buffer of Routing Switches

机译:在路由交换机的缓冲区中使用TCAM进行数据包标识的内存计算

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The in-memory computing architecture is proposed to solve the memory access delay caused by speed mismatch between memory and processor. TCAM (Ternary content addressable memory) has the feature of in-memory computing that combines storage and computation operation, and also support of longest prefix matching (LPM), which makes it widely used in ACL (Access Control Lists), routing table lookup and packet identification. Using TCAM makes the speed of data forwarding improved and the network blocking reduced. However, as the speed of the network increases, the drawback caused by the slow update speed of TCAM is gradually not negligible, which has become one of the key factors restricts the overall velocity. To solve the problem that TCAM updates slowly, the key is to optimize the memory and computing operation. So, this paper distributes the blank space throughout the whole TCAM without knowing the number of each prefix, and adjusting the storage structure of the TCAM with additional control logic during the update process. The distributed space is automatically adjusted according to the entries that constantly update. Then, this paper constructs a TCAM with the size of 128*48, through logic synthesis, the frequency of 200MHz can be reached under the UMC 28nm process node, and 10-40 million times update operation per second can be achieved.
机译:提出了内存计算架构以解决内存和处理器之间的速度不匹配引起的存储器访问延迟。 TCAM(三元内容可寻址存储器)具有内存计算的特征,它结合了存储和计算操作,以及支持最长的前缀匹配(LPM),这使其在ACL(访问控制列表)中广泛使用,路由表查找和数据包识别。使用TCAM使数据转发的速度改进,网络阻塞减少了。然而,随着网络的速度增加,TCAM的慢速更新速度引起的缺点逐渐不可忽略,这已成为限制整体速度的关键因素之一。为了解决TCAM更新缓慢的问题,关键是优化内存和计算操作。因此,本文在整个TCAM中分发空白空间,而不知道每个前缀的数量,并在更新过程中使用其他控制逻辑调整TCAM的存储结构。分布式空间根据不断更新的条目自动调整。然后,通过逻辑合成构造具有128 * 48的大小的TCAM,可以在UMC 28nm处理节点下达到200MHz的频率,并且可以实现每秒10-40万次更新操作。

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