流数据应用建模性能的一种简单方法分析

2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems Pub Date : 2013-08-14 DOI:10.1109/MASCOTS.2013.49

J. Beard, R. Chamberlain

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引用次数: 18

摘要

当前最先进的系统包含各种类型的多核处理器，通用图形处理单元(gpgpu)和偶尔的数字信号处理器(dsp)或现场可编程门阵列(fpga)。异质性带来了隐藏底层复杂性的多个抽象层。虽然有必要简化这些系统的可编程性，但这种隐藏的复杂性使得定量性能建模成为一项困难的任务。本文概述了一种计算简单的方法来对部署在异构硬件上的流应用程序的总体吞吐量和缓冲需求进行建模。

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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Analysis of a Simple Approach to Modeling Performance for Streaming Data Applications

Current state of the art systems contain various types of multicore processors, General Purpose Graphics Processing Units (GPGPUs) and occasionally Digital Signal Processors (DSPs) or Field-Programmable Gate Arrays (FPGAs). With heterogeneity comes multiple abstraction layers that hide underlying complexity. While necessary to ease programmability of these systems, this hidden complexity makes quantitative performance modeling a difficult task. This paper outlines a computationally simple approach to modeling the overall throughput and buffering needs of a streaming application deployed on heterogeneous hardware.

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来源期刊

2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems

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