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Improving performance and reducing energy-delay with adaptive resource resizing for out-of-order embedded processors

机译:通过为乱序嵌入式处理器调整自适应资源大小来提高性能并减少能耗

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While Ultra Deep Submicron (UDSM) CMOS scaling gives embedded processor designers ample silicon budget to increase processor resources to improve performance, restrictions with the power budget and practically achievable operating clock frequencies act as limiting factors. In this paper we show how just increasing processor resource size is not effective in improving performance due to constraints on achievable operating clock frequency. In response we propose two adaptive resource resizing techniques L2RS and L2ML1RS that adaptively resize resources by exploiting cache misses. Our results show a significant performance improvement and overall energy-delay reduction of on average 9.2% (upto 34%) and 3.8% respectively across SPEC2K benchmarks for L2ML1RS. Applying L2RS resulted in 6.8% performance improvement (upto 24%) and 4.6% energy-delay reduction. We also present the required circuit modification to apply these techniques which shown to be minimal.
机译:超深亚微米(UDSM)CMOS缩放为嵌入式处理器设计人员提供了充足的硅预算,以增加处理器资源以提高性能,而功耗预算的限制和实际可达到的工作时钟频率则成为限制因素。在本文中,我们展示了由于可实现的工作时钟频率的限制,仅仅增加处理器资源的大小如何无法有效提高性能。作为响应,我们提出了两种自适应资源大小调整技术L2RS和L2ML1RS,它们通过利用缓存未命中来自适应地调整资源大小。我们的结果表明,在L2ML1RS的SPEC2K基准上,性能得到了显着改善,总体能源延迟分别降低了9.2%(最多34%)和3.8%。应用L2RS可以提高6.8%的性能(最高可达24%),并减少4.6%的能耗。我们还介绍了应用这些技术所需的最小电路修改。

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