Memory bank customization and assignment in behavioral synthesis

P. Panda
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引用次数: 54

Abstract

With increasing design complexity and chip area, on-chip memory has become an important component whose integration needs to be addressed during system design. Modern embedded DRAM technology allows for large amounts of on-chip memory space. However, in order to utilize the available memory intelligently, the memory has to be appropriately customized for the specific application. We address the topic of incorporating the application-specific customization of memory bank configuration into behavioral synthesis. The strategy involves a partitioning of behavioral arrays into memory banks based on a cost function that estimates the performance implications. For a given candidate partition, we present a heuristic for determining the access sequence that minimizes page misses in a bank while respecting data dependences. The output of the exploration is a graph displaying the variation of delay and memory area with the bank configuration. Our experiments on several memory-intensive examples confirm that the exploration results can provide critical feedback to the designer about the optimal memory configuration for a given application.
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行为合成中的记忆库定制与分配
随着设计复杂度的提高和芯片面积的增加,片上存储器已经成为系统设计中需要解决集成问题的重要部件。现代嵌入式DRAM技术允许大量的片上存储空间。但是,为了智能地利用可用内存,必须针对特定的应用程序适当地定制内存。我们讨论了将特定于应用程序的内存库配置自定义纳入行为合成的主题。该策略包括基于估算性能影响的成本函数将行为数组划分到内存库中。对于给定的候选分区,我们提出了一种启发式方法,用于确定访问顺序,从而在尊重数据依赖性的同时最大限度地减少银行中的页面遗漏。探索的输出是一个图表,显示延迟和存储区域随银行配置的变化。我们在几个内存密集型示例上的实验证实,探索结果可以为设计人员提供关于给定应用程序的最佳内存配置的关键反馈。
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