GPU Performance and Power Tuning Using Regression Trees

Jia Wenhao; Garza Elba; Shaw Kelly A.; Martonosi Margaret

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GPU Performance and Power Tuning Using Regression Trees

机译：使用回归树进行GPU性能和功耗调整

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GPU performance and power tuning is difficult, requiring extensive user expertise and time-consuming trial and error. To accelerate design tuning, statistical design space exploration methods have been proposed. This article presents Starchart, a novel design space partitioning tool that uses regression trees to approach GPU tuning problems. Improving on prior work, Starchart offers more automation in identifying key design trade-offs and models design subspaces with distinctly different behaviors. Starchart achieves good model accuracy using very few random samples: less than 0.3% of a given design space; iterative sampling can more quickly target subspaces of interest.

机译：GPU性能和功率调整非常困难，需要广泛的用户专业知识和耗时的反复试验。为了加速设计调整，已经提出了统计设计空间探索方法。本文介绍了Starchart，这是一种新颖的设计空间分区工具，它使用回归树来解决GPU调整问题。通过改进先前的工作，Starchart提供了更多的自动化功能来确定关键的设计折衷方案，并对具有明显不同行为的设计子空间进行建模。 Starchart使用很少的随机样本即可达到良好的模型精度：小于给定设计空间的0.3％;迭代采样可以更快地将目标子空间作为目标。

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来源
《ACM Transactions on Architecture and Code Optimization》 |2015年第2期|共26页
作者
Jia Wenhao; Garza Elba; Shaw Kelly A.; Martonosi Margaret;
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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Design; Measurement; Performance; Design space exploration; GPGPU; statistical modeling; decision tree;

机译：设计;测量;性能;设计空间探索;GPGPU;统计建模;决策树;

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1. GPU Performance and Power Tuning Using Regression Trees [J] . Jia Wenhao, Garza Elba, Shaw Kelly A., ACM Transactions on Architecture and Code Optimization . 2015,第2期

机译：使用回归树进行GPU性能和功耗调整
2. A Strategy for Automatic Performance Tuning of Stencil Computations on GPUs [J] . Joseph D. Garvey, Tarek S. Abdelrahman Scientific programming . 2018,第1期

机译：在GPU上自动进行模板计算性能调整的策略
3. Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs [J] . Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Procedia Computer Science . 2016,第1期

机译：GPU上固定和可变大小的批处理Cholesky分解的性能调整和优化技术
4. Power-aware Performance Tuning of GPU Applications Through Microbenchmarking [C] . Nicola Bombieri, Federico Busato, Franco Fummi ACM/EDAC/IEEE Design Automation Conference . 2017

机译：通过微磁发光调整GPU应用的电源感知性能调整
5. Performance and Power Analytical Models for GPUs and Mobile Devices. [D] . Issa, Joseph. 2012

机译：GPU和移动设备的性能和功耗分析模型。
6. ECG signal performance de-noising assessment based on threshold tuning of dual-tree wavelet transform [O] . Oussama El B’charri, Rachid Latif, Khalifa Elmansouri, 2017

机译：基于双树小波变换阈值调整的心电信号降噪评估
7. A Strategy for Automatic Performance Tuning of Stencil Computations on GPUs [O] . Joseph D. Garvey, Tarek S. Abdelrahman 2018

机译：GPU上模板计算自动性能调整的策略

GPU Performance and Power Tuning Using Regression Trees

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