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Reducing impact of cache miss stalls in embedded systems by extracting guaranteed independent instructions

机译:通过提取有保证的独立指令来减少嵌入式系统中缓存未命中停顿的影响

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摘要

Today, embedded processors are expected to be able to run algorithmically complex, memory-intensive applications that were originally designed and coded for general-purpose processors. As such, the impact of memory latencies on the execution time increasingly becomes evident. All the while, it is also expected that embedded processors be power-conscientious as well as of minimal area impact, as they are often used in mobile devices such as wireless smartphones and portable MP3 players. As a result, traditional methods for addressing performance and memory latencies, such as multiple issue, out-of-order execution and large, associative caches, are not aptly suited for the mobile embedded domain due to the significant area and power overhead. This paper explores a novel approach to mitigating execution delays caused by memory latencies that would otherwise not be possible in a regular in-order, single-issue embedded processor without large, power-hungry constructs like a Reorder Buffer (ROB). The concept relies on efficiently leveraging both compile-time and run-time information to safely allow non-data-dependent instructions to continue executing in the event of a memory stall. The simulation results show significant improvement in overall execution throughput of approximately 11%, while having a minimal impact on area overhead and power.
机译:如今,嵌入式处理器有望能够运行算法复杂,内存密集型应用程序,这些应用程序最初是为通用处理器设计和编码的。这样,内存延迟对执行时间的影响越来越明显。一直以来,人们还期望嵌入式处理器在功耗方面以及对面积的影响最小,这是因为嵌入式处理器通常用于无线智能手机和便携式MP3播放器等移动设备中。结果,由于大量的区域和功率开销,用于解决性能和内存延迟的传统方法(例如,多个问题,乱序执行和大型关联缓存)不适合移动嵌入式领域。本文探讨了一种缓解内存延迟导致的执行延迟的新颖方法,而这种延迟在常规的有序单发嵌入式处理器中是不可能的,而没有大型的,耗电的结构(如重排序缓冲区(ROB))。该概念依赖于有效利用编译时信息和运行时信息,以在内存停顿的情况下安全地允许非数据相关指令继续执行。仿真结果表明,总体执行吞吐量显着提高了约11%,同时对面积开销和功耗的影响最小。

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