Memory Access Pattern Profiling for Streaming Applications Based on MATLAB Models

T. Goldbrunner, Thomas Wild, A. Herkersdorf
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引用次数: 2

Abstract

In order to cope with the problems caused by the Data Deluge, for application-specific architectures it is important to design the system in such a way that the processing and memory subsystems are geared to each other. Especially for systems that need to fulfill high data throughput demands, there is a high risk, that otherwise there will be high degradation of the overall system performance caused by memory accesses. However especially for application-specific designs, it is possible to create a tailored memory subsystem by profiling the applications memory access patterns beforehand and then incorporating the information during the system design. For this purpose we present a data access pattern profiling framework, which can provide detailed information about an applications memory access patterns based on a MATLAB model of the application.
基于MATLAB模型的流应用内存访问模式分析
为了应对由数据泛滥引起的问题,对于特定于应用程序的体系结构,重要的是要以这样一种方式设计系统,使处理子系统和内存子系统相互适应。特别是对于需要满足高数据吞吐量需求的系统,存在很高的风险,否则内存访问将导致整体系统性能的严重降低。但是,对于特定于应用程序的设计,可以通过预先分析应用程序内存访问模式,然后在系统设计期间合并信息来创建定制的内存子系统。为此,我们提出了一个数据访问模式分析框架,该框架可以基于应用程序的MATLAB模型提供有关应用程序内存访问模式的详细信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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