具有自适应寄存器文件架构的特定于应用程序的计算

R. Sangireddy, Arun Kumar Somani
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引用次数: 1

摘要

为了有效地执行计算密集型功能,需要更高的计算能力,从而需要更多的片上计算资源。另一方面,需要更大片上存储器带宽的应用程序不断涌现。我们提出自适应寄存器文件计算(ARC)单元,这是一种利用特定应用程序处理能力的新型片上处理元件。ARC单元补充了传统的寄存器文件,以提供大的内存带宽,或作为一个可配置的计算单元,以提供更高的片上计算能力,这取决于特定应用的要求。当乱序的8宽问题超标量处理器与ARC单元一起处理矩阵乘法(大多数多媒体应用程序中的计算密集型核心功能)时,结果显示性能提高高达12%。类似地,当矩阵乘法在带有ARC单元的乱序4-wide问题超标量处理器中执行时,可以看到9%的性能增强。我们还讨论了ARC单元实现的微架构级细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application-specific computing with adaptive register file architectures
The demand for higher computing power to effectively execute compute-intensive functions and thus more on-chip computing resources is ever increasing. On the other hand, applications that demand larger on-chip memory bandwidth are continuously emerging. We propose adaptive register file computing (ARC) unit, a novel on-chip processing element that leverages application-specific processing capabilities. The ARC unit supplements a conventional register file to provide large memory bandwidth, or acts as a configurable computing unit to provide higher on-chip computing capacity, depending on the requirement of a specific application. When an out-of-order 8-wide issue superscalar processor is supplemented with the ARC unit to process matrix multiplication, a compute-intensive core function in most multimedia applications, results show a performance increase of up to 12%. Similarly, a 9% performance enhancement is seen when the matrix multiplication is performed in an out-of-order 4-wide issue superscalar processor supplemented with the ARC unit. We also discuss the microarchitecture level details for the implementation of the ARC unit.
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