Special Issue on Automatic Application Tuning for HPC Architectures

Author:

Benkner Siegfried1,Franchetti Franz2,Gerndt Hans Michael3,Hollingsworth Jeffrey K.4

Affiliation:

1. University of Vienna, Vienna, Austria

2. Carnegie Mellon University, Pittsburgh, PA, USA

3. TU München, Munich, Germany

4. University of Maryland, College Park, MD, USA

Abstract

High Performance Computing architectures have become incredibly complex and exploiting their full potential is becoming more and more challenging. As a consequence, automatic performance tuning (autotuning) of HPC applications is of growing interest and many research groups around the world are currently involved. Autotuning is still a rapidly evolving research field with many different approaches being taken. This special issue features selected papers presented at the Dagstuhl seminar on “Automatic Application Tuning for HPC Architectures” in October 2013, which brought together researchers from the areas of autotuning and performance analysis in order to exchange ideas and steer future collaborations.

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated performance analysis tools framework for HPC programs;Procedia Computer Science;2022

2. The READEX formalism for automatic tuning for energy efficiency;Computing;2017-01-10

3. Tuning OpenCL Applications with the Periscope Tuning Framework;2016 49th Hawaii International Conference on System Sciences (HICSS);2016-01

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