The investigation of the ARMv7 and Intel Haswell architectures suitability for performance and energy-aware computing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126380" target="_blank" >RIV/00216305:26230/17:PU126380 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11303" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11303</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-58667-0_20" target="_blank" >10.1007/978-3-319-58667-0_20</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The investigation of the ARMv7 and Intel Haswell architectures suitability for performance and energy-aware computing

Popis výsledku v původním jazyce

Reducing CPU frequency and voltage is a well-known approach to improve energy consumption of memory-bound applications. This is based on the conception that the performance of the main memory sees little or no degradation at reduced processor clock speeds, while power consumption decreases significantly and the overall energy efficiency improves. We study this effect on the Haswell generation of Intel Xeon processors as well as the ARMv7 generation of the 32-bit ARM big.LITTLE architecture. The goal is to analyze and compare performance, energy consumption and resulting energy efficiency on a series of tasks, each focusing on different parts of the system, provide analysis and generalization to other similar architectures. The benchmark suit consists of compute and memory intensive benchmarks as well as both single and multi-threaded scientific applications. The results show that frequency and voltage scaling can significantly improve algorithms' energy efficiency, up to 2.5x on ARM and 1.5x on Intel compared to the maximum frequency. ARM is up to 2x more efficient than Intel. The results are valuable for scientists in the areas of computer architecture, performance and power analysis as well as application developers seeking to optimize their Haswell x86_64 and ARMv7 hardware setup to improve energy efficiency.

Název v anglickém jazyce

The investigation of the ARMv7 and Intel Haswell architectures suitability for performance and energy-aware computing

Popis výsledku anglicky

Reducing CPU frequency and voltage is a well-known approach to improve energy consumption of memory-bound applications. This is based on the conception that the performance of the main memory sees little or no degradation at reduced processor clock speeds, while power consumption decreases significantly and the overall energy efficiency improves. We study this effect on the Haswell generation of Intel Xeon processors as well as the ARMv7 generation of the 32-bit ARM big.LITTLE architecture. The goal is to analyze and compare performance, energy consumption and resulting energy efficiency on a series of tasks, each focusing on different parts of the system, provide analysis and generalization to other similar architectures. The benchmark suit consists of compute and memory intensive benchmarks as well as both single and multi-threaded scientific applications. The results show that frequency and voltage scaling can significantly improve algorithms' energy efficiency, up to 2.5x on ARM and 1.5x on Intel compared to the maximum frequency. ARM is up to 2x more efficient than Intel. The results are valuable for scientists in the areas of computer architecture, performance and power analysis as well as application developers seeking to optimize their Haswell x86_64 and ARMv7 hardware setup to improve energy efficiency.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

High Performance Computing

ISBN

978-3-319-58667-0

ISSN

—

e-ISSN

—

Počet stran výsledku

16

Strana od-do

377-393

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Messe Frankfurt Tor Ost (East Gate) Hall 3 Brüss

Datum konání akce

18. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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