The development of a data-driven application benchmarking approach to performance modelling
The development of a data-driven application benchmarking approach to performance modelling
复制标题
开发数据驱动的应用程序性能建模基准测试方法
DOI：
10.1109/hpcsim.2014.6903760
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Osprey A
中科院分区：
文献类型：
--
作者：
Osprey A
性能建模是高性能科学软件（如天气和气候模型）生命周期中的一个有用工具，特别是作为确保有效利用可用计算资源的一种手段。特别是，足够准确的性能预测可以减少将气候模型移植和优化到新机器上所需的工作量和实验计算机时间。然而，随着体系结构变得越来越复杂，性能预测也变得越来越困难。传统的基于源代码分析并由机器基准测试支持的性能预测方法已被证明不足以完成这项任务。本文通过应用一些传统技术来预测一个简单的浅水模式的计算时间，探讨了造成这种情况的原因，这说明了气候模式所涉及的计算（和通信）。这些模型与在AMD opteron系统上收集的真实执行数据进行了比较，包括英国学术界高性能计算资源HECToR的几个阶段。在将源代码与K10系列Opterons的性能相关联方面取得了一些成功，但这种方法被发现不适用于下一代英特拉格斯处理器。
Performance modelling is a useful tool in the lifeycle of high performance scientific software, such as weather and climate models, especially as a means of ensuring efficient use of available computing resources. In particular, sufficiently accurate performance prediction could reduce the effort and experimental computer time required when porting and optimising a climate model to a new machine.Yet as architectures become more complex, performance prediction is becoming more difficult. Traditional methods of performance prediction, based on source code analysis and supported by machine benchmarks, are proving inadequate to the task. In this paper, the reasons for this are explored by applying some traditional techniques to predict the computation time of a simple shallow water model which is illustrative of the computation (and communication) involved in climate models. These models are compared with real execution data gathered on AMD Opteron-based systems, including several phases of the UK academic community HPC resource, HECToR. Some success is had in relating source code to achieved performance for the K10 series of Opterons, but the method is found to be inadequate for the next-generation Interlagos processor.
多核架构：性能预测的复杂性和缓存拓扑的影响
DOI：
--
发表时间：
2009
期刊：
arXiv.org
影响因子：
--
作者：
Jan Treibig;G. Hager;G. Wellein
通讯作者：
G. Wellein
实际性能建模：升级期间 Cray XT4 系统的性能预测
DOI：
--
发表时间：
2009
期刊：
2009 IEEE International Symposium on Parallel & Distributed Processing
影响因子：
--
作者：
K. Barker;K. Davis;D. Kerbyson
通讯作者：
D. Kerbyson
并行计算机的公共国际基准：PARKBENCH 委员会：Report-1
DOI：
--
发表时间：
1994
期刊：
影响因子：
--
作者：
M. Berry;R. Hockney
通讯作者：
R. Hockney