Analysis of a Simple Approach to Modeling Performance for Streaming Data Applications
Analysis of a Simple Approach to Modeling Performance for Streaming Data Applications
复制标题
流数据应用程序性能建模的简单方法分析
DOI：
10.1109/mascots.2013.49
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
R. Chamberlain
中科院分区：
文献类型：
--
作者：
J. Beard;R. Chamberlain
当前技术水平的系统包含各种类型的多核处理器、通用图形处理单元(GPGPU)以及偶尔的数字信号处理器(DSP)或现场可编程门阵列(FGA)。异构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定量性能建模成为一项困难的任务。本文概述了一种简单的计算方法，用于对部署在异类硬件上的流应用程序的总体吞吐量和缓冲需求进行建模。
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.