使用抽象级别的可配置异构MPSoC架构探索

Hao Shen, P. Gerin, F. Pétrot
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引用次数: 7

摘要

几个最新的嵌入式系统项目采用了可配置处理器,以利用特定于应用程序的自定义指令来实现指令级并行。同时,设计人员还使用多个处理器来实现线程级并行。可配置异构多处理器片上系统(CH-MPSoC)具有并行性的优点,似乎是未来嵌入式系统的一个很好的解决方案。由于CH-MPSoC具有许多架构参数,因此需要新的设计方法来帮助探索这个巨大的设计空间,并为所有用户定义的约束找到合适的解决方案。我们提出了一种新的探索流程,使用基于预算的问题划分方法与多个抽象层次相结合。通过使用几个抽象级别,可以将速度、功率和成本的全局预算分解为映射到每个组件的详细预算。我们的流程中使用了一个称为事务精确级别的特殊抽象级别来对多处理器架构和可配置处理器进行建模。在这个级别上,硬件任务和外设使用事务级建模来实现高仿真速度。将可配置处理器的统计信息抽象并标注到各个软件任务中。执行结果用于调整预算和指导自动生成扩展指令。通过Motion-JPEG案例研究,我们详细说明了CH-MPSoC探索流程的优势。
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Configurable Heterogeneous MPSoC Architecture Exploration Using Abstraction Levels
Configurable processors are adopted by several latest embedded system projects to make use of application specific custom instructions for instruction level parallelism. Meanwhile, designers also use multiple processors for thread level parallelism. Configurable heterogeneous multi-processor system-on-chip (CH-MPSoC) has both parallelism advantages and seems to be a good solution for future embedded systems. Because CH-MPSoC has lots of architectural parameters, new design methodologies are required to help exploring this huge design space and finding a suitable solution for all user-defined constraints. We propose a new exploration flow using a budget based problem partitioning approach integrated with multiple abstraction levels. By using several abstraction levels, global budgets of speed, power and cost can be decomposed into detailed ones which are mapped onto each component. One special abstraction level called transaction accurate level is used in our flow to model both multi-processor architectures and configurable processors. At this level, hardware tasks and peripherals use transaction level modeling to achieve high simulation speed. Statistic information of configurable processors is abstracted and annotated to each software tasks. The execution results are used to adjust budgets and guide automatic extended instructions generation. With the Motion-JPEG case study, we illustrate detailed advantages of our CH-MPSoC exploration flow.
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