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DSS: Applying asynchronous techniques to architectures exploiting ILP at compile time

机译:DSS:将异步技术应用于架构在编译时利用ILP

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Embedded application environments require both high performance and low power. Architectures exploiting instruction-level parallelism (ILP) at compile time, such as very long instruction word (VLIW) and transport triggered architecture (TTA), may satisfy the requirements. They can be further enhanced by using asynchronous circuits to significantly reduce power consumption. As such, we are interested in asynchronous processors with architectures exploiting ILP at compile time. However, most of the current asynchronous processors are based on RISC-like architectures. When designing asynchronous VLIW or TTA processors, the distribution of control introduces some serious problems, and errors may occur because of the variable latencies of operations. This paper investigates the asynchronous processor with architecture exploiting ILP at compile time. In order to overcome these problems, we propose a data source selecting (DSS) scheme to guarantee instructions run correctly on asynchronous VLIW and TTA processors. Concretely, an asynchronous pipelined processor based on TTA is designed. The micro-architecture of the proposed asynchronous TTA processor is presented and an asynchronous processor named Tengyue is implemented using 180nm technology. The experimental results, for a range of benchmarks and working modes, show that the implemented asynchronous TTA processor with DSS scheme support runs correctly and power dissipation is reduced to about 43% to 65% of the equivalent synchronous processor.
机译:嵌入式应用环境需要高性能和低功耗。在编译时利用指令级并行性(ILP)的体系结构,例如非常长的指令字(VLIW)和传输触发架构(TTA),可以满足要求。通过使用异步电路可以进一步增强它们以显着降低功耗。因此,我们对具有在编译时利用ILP的体系结构的异步处理器感兴趣。但是,大多数当前的异步处理器都基于RISC的架构。在设计异步VLIW或TTA处理器时,控制的分布引入了一些严重的问题,并且由于操作的可变延迟而可能发生错误。本文调查了在编译时利用架构利用ILP的异步处理器。为了克服这些问题,我们提出了一种数据源选择(DSS)方案来保证在异步VLIW和TTA处理器上正确运行的指令。具体地,设计基于TTA的异步流水线处理器。提出了所提出的异步TTA处理器的微架构,并使用180nm技术实现名为Tengyue的异步处理器。实验结果,对于一系列基准和工作模式,表明,具有DSS方案支持的实现的异步TTA处理器运行正确,功耗降低到等效同步处理器的约43%至65%。

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