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Predictive method for simultaneous switching output jitter of DDR for FPGA

机译:FPGA同时切换DDR输出抖动的预测方法

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摘要

Memory system level Simultaneous Switching Output (SSO) timing variation analysis requires a significantly large amount of simulation time and computing resource. Double Data Rate Synchronous Dynamic Random Access Memory (DDR DRAM) signal integrity analysis requires a complex model that includes numerous data signals, package routing model and Power Delivery Network (PDN) models. Besides, signal analysis and optimization requires multiple simulation iterations. Generally, Field Programmable Gate Array (FPGA) comes in a package matrix where one FPGA device has a few different package types of Input/output (I/O) counts and DDR counts to suit its application. Hence, FPGA needs a long SSO analysis time to cover these package variations. This resulted in a long product cycle time for FPGA. This paper discusses a methodology to build a predictive tool for DDR's SSO noise estimation based on IO mutual inductance (L) coupling and PDN performance calculations of different packages. The test vehicle used was a low cost FPGA with DDR3 600Mbps of x16 DQ in a wirebond package. The correlation between the SSO predictive tool and characterization measurement is also discussed in this paper.
机译:存储器系统级同时开关输出(SSO)时序变化分析需要大量的仿真时间和计算资源。双数据速率同步动态随机存取存储器(DDR DRAM)信号完整性分析需要一个复杂的模型,该模型包括许多数据信号,封装路由模型和功率传输网络(PDN)模型。此外,信号分析和优化需要多次仿真迭代。通常,现场可编程门阵列(FPGA)包含在封装矩阵中,其中一个FPGA器件具有几种不同的输入/输出(I / O)计数和DDR计数封装类型,以适合其应用。因此,FPGA需要很长的SSO分析时间才能涵盖这些封装的变化。这导致了FPGA较长的产品周期时间。本文讨论了一种基于IO互感(L)耦合和不同封装的PDN性能计算来构建用于DDR SSO噪声估计的预测工具的方法。所使用的测试工具是低成本FPGA,采用线焊封装,具有DDR3 600Mbps x16 DQ。本文还讨论了SSO预测工具与特征度量之间的相关性。

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