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Three-dimensional memory vectorization for high bandwidth media memory systems

机译:用于高带宽媒体存储器系统的三维存储器矢量化

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摘要

Vector processors have good performance, cost and adaptability when targeting multimedia applications. However, for a significant number of media programs, conventional memory configurations fail to deliver enough memory references per cycle to feed the SIMD functional units. This paper addresses the problem of the memory bandwidth. We propose a novel mechanism suitable for 2-dimensional vector architectures and targeted at providing high effective bandwidth for SIMD memory instructions. The basis of this mechanism is the extension of the scope of vectorization at the memory level, so that 3-dimensional memory patterns can be fetched into a second-level register file. By fetching long blocks of data and by reusing 2-dimensional memory streams at this second-level register file, we obtain a significant increase in the effective memory bandwidth. As side benefits, the new 3-dimensional load instructions provide a high robustness to memory latency and a significant reduction of the cache activity, thus reducing power and energy requirements. At the investment of a 50% more area than a regular SIMD register file, we have measured and average speed-up of 13% and the potential for power savings in the L2 cache of a 30%.
机译:当针对多媒体应用程序时,矢量处理器具有良好的性能,成本和适应性。但是,对于大量的媒体程序,常规的内存配置无法在每个周期传递足够的内存引用来馈送SIMD功能单元。本文解决了内存带宽问题。我们提出了一种适用于二维矢量架构的新颖机制,旨在为SIMD存储器指令提供高有效带宽。这种机制的基础是在内存级别扩展矢量化的范围,以便可以将3维内存模式提取到第二级寄存器文件中。通过获取较长的数据块并在此第二级寄存器文件中重新使用二维内存流,我们获得了有效内存带宽的显着增加。附带的好处是,新的3维加载指令为内存延迟提供了很高的鲁棒性,并显着减少了缓存活动,从而降低了功耗和能耗要求。与常规的SIMD寄存器文件相比,与传统SIMD寄存器文件相比,其投入的面积增加了50%,我们测得的平均速度提高了13%,二级缓存中的节能潜力也达到了30%。

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