Towards Modeling and Simulation of Exascale Computing Platforms - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Master Thesis Year : 2012

Towards Modeling and Simulation of Exascale Computing Platforms

Abstract

Future super-computer platforms will be facing big challenges due to the enormous power consumption. One possible solution to this problem would be to develop HPC systems from today’s energy-efficient hardware solutions used in embedded and mobile devices like ARM. However, ARM chips have never been used in HPC programing before, leading to a number of significant challenges. Therefore, we experimented with ARM processors and compared their performance with the architectures that are known better, in this case last generations of Intel processors. Due to the memory bottleneck of most scientific applications, understanding the performance of CPU caches in this context is crucial, thus this research was investigat- ing the processor performance depending on memory hierarchy. We present not only differences and complexity of these two architectures, but also how changing seemingly innocuous aspects of an experimental setup can cause completely distinctive behavior. Additionally, we demonstrate very clean and systematic methodology, which aid us in achieving good performance estimations.
Fichier principal
Vignette du fichier
Master_Report.pdf (780.21 Ko) Télécharger le fichier
Presentation.pdf (1.43 Mo) Télécharger le fichier
Loading...

Dates and versions

hal-01158585 , version 1 (11-05-2016)

Identifiers

  • HAL Id : hal-01158585 , version 1

Cite

Luka Stanisic. Towards Modeling and Simulation of Exascale Computing Platforms. Distributed, Parallel, and Cluster Computing [cs.DC]. 2012. ⟨hal-01158585⟩
287 View
163 Download

Share

Gmail Mastodon Facebook X LinkedIn More