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Design and benchmarking of ferroelectric FET based TCAM

机译:基于TFET的铁电FET的设计和基准测试

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We consider how emerging transistor technologies, specifically ferroelectric field effect transistors (or FeFETs), can realize compact and energy efficient ternary content addressable memories (TCAMs). As Moore's Law-based performance scaling trends slow, and many computational tasks of interest are now more data-centric than compute-centric, researchers are looking to improve performance/save energy by integrating efficient and compact logic/processing elements into various levels of the memory hierarchy. Potential benefits include reduced I/O traffic, energy/delay from data transfers, etc. A TCAM is an example of a logic-in-memory element that is ubiquitous in routers, caches, databases, and even neural networks. Not surprisingly, researchers continue to study how emerging technologies could lead to improved TCAMs. Recent work has considered how non-volatile (NV) memory technologies (e.g., resistive random access memory (ReRAM) or magnetic tunnel junctions (MTJs)) could best be used to construct low energy, NV TCAMs. However, acceptable Ron-Roff ratios and the two terminal nature of these devices introduce energy and area overheads. Due to hysteresis in a device's I-V curve, an FeFET-based NV TCAM, offers low area overhead, as well as search energies and search speeds that are superior to other TCAM designs (i.e., based on MTJ, ReRAM and CMOS in array- and architectural-level evaluations.)
机译:我们考虑新兴的晶体管技术,特别是铁电场效应晶体管(FeFET),如何实现紧凑且节能的三元内容可寻址存储器(TCAM)。随着基于摩尔定律的性能扩展趋势变慢,并且现在许多感兴趣的计算任务都比以计算为中心的以数据为中心,研究人员正在寻求通过将高效,紧凑的逻辑/处理元素集成到不同级别的性能中来提高性能/节省能量。内存层次结构。潜在的好处包括减少I / O流量,数据传输带来的能量/延迟等。TCAM是内存中逻辑元素的一个示例,该元素普遍存在于路由器,缓存,数据库甚至神经网络中。毫不奇怪,研究人员继续研究新兴技术如何导致改进的TCAM。最近的工作已经考虑了如何最好地使用非易失性(NV)存储器技术(例如,电阻式随机存取存储器(ReRAM)或磁性隧道结(MTJ))来构造低能耗的NV TCAM。但是,可接受的Ron-Roff比和这些设备的两个终端性质会带来能量和面积开销。由于器件IV曲线中的磁滞,基于FeFET的NV TCAM具有较低的面积开销,并且搜索能量和搜索速度优于其他TCAM设计(例如,基于MTJ,ReRAM和CMOS的阵列和架构级别的评估。)

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