移动系统对SDRAM接口趋势的考虑

A. Kahng, V. Srinivas
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引用次数: 15

摘要

各种互连技术和标准(dimm, MCP, POP,堆叠芯片和3d堆栈)使控制器IC能够与外部SDRAM通信,或通过共享互连与多个SDRAM通信。低功耗要求已促使移动控制器转向移动sdram (LPDDR)内存解决方案。然而,LPDDR配置不能扩展到匹配移动处理器的吞吐量和容量需求,或者新兴的平板电脑产品,这些产品在内存子系统指标之间带来了新的和不同的权衡。因此,确定最适合给定移动应用程序的内存配置变得非常具有挑战性。本文重点介绍了基于容量、吞吐量、延迟、功耗、成本和热问题为移动处理器选择特定内存配置时的考虑因素。我们根据互连实现和性能区分各种选择,包括IO和互连中的功率和时序。为此,我们应用了一个由三部分组成的框架:(1)以决策树的形式驱动问题,(2)为移动IO实现投射功率和时间的计算器,以及(3)传播自上而下的需求和自下而上的能力,以区分互连实现。我们的框架可以支持各种互连配置的时间和功率的抽象,以提供更高级别的工具,如CACTI[19]。我们预计它还可以用于预测未来的移动系统需求和内存互连能力,从而确定内存产品路线图中的任何差距或瓶颈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile system considerations for SDRAM interface trends
A variety of interconnect technologies and standards (DIMMs, MCP, POP, stacked-die and 3D-stack) enable a controller IC to communicate with an external SDRAM, or with multiple SDRAMs over a shared interconnect. Low-power requirements have driven mobile controllers to mobile-SDRAM (LPDDR) memory solutions. However, LPDDR configurations do not scale to match the throughput and capacity requirements of mobile processors, or of emerging tablet products that bring new and divergent tradeoffs among memory subsystem metrics. As a result, identifying the memory configuration best suited to a given mobile application becomes quite challenging. This paper highlights considerations in choosing a particular memory configuration for a mobile processor based on capacity, throughput, latency, power, cost and thermal concerns. We distinguish various choices according to interconnect implementation and performance, including power and timing in the IO and interconnect. To do this, we apply a three-part framework: (1) driving questions in the form of a decision tree, (2) a calculator that projects power and timing for mobile IO implementations, and (3) propagated top-down requirements and bottom-up capabilities that distinguish interconnect implementations. Our framework can support abstraction of timing and power for various interconnect configurations, to feed higher-level tools such as CACTI [19]. We anticipate that it can also be used to project mobile system requirements and memory interconnect capabilities into the future, so as to identify any gaps or bottlenecks in memory product roadmaps.
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