极大极小缓存:媒体处理器的高能效框架

O. Unsal, I. Koren, C. M. Krishna, C. A. Moritz
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引用次数: 36

摘要

这项工作是基于我们在计算系统中提供层间系统级功率感知的理念。在这里,我们将这种方法与我们的多分区内存系统结合起来,在多分区内存系统中,内存访问根据其静态可预测性和内存占用进行分离,并使用各种编译器控制的技术进行管理。我们表明,当将标量内存访问重定向到迷你缓存时,媒体应用程序的映射更有效。我们的结果表明,从性能和能量的角度来看,对于大多数应用程序来说,将标量映射到512字节迷你缓存的分区8K缓存比16K单片缓存更有效。在广泛的实验中,我们报告了在一系列系统配置和不同缓存大小的情况下节省30%到60%的能量延迟产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The minimax cache: an energy-efficient framework for media processors
This work is based on our philosophy of providing interlayer system-level power awareness in computing systems. Here, we couple this approach with our vision of multi-partitioned memory systems, where memory accesses are separated based on their static predictability and memory footprint and managed with various compiler controlled techniques. We show that media applications are mapped more efficiently when scalar memory accesses are redirected to a mini-cache. Our results indicate that a partitioned 8K cache with the scalars being mapped to a 512 byte mini-cache can be more efficient than a 16K monolithic cache from both performance and energy point of view for most applications. In extensive experiments, we report 30% to 60% energy-delay product savings over a range of system configurations and different cache sizes.
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