Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks

Compute-heavy workloads are currently run on Hybrid HPC structures using x86 CPUs and GPUs from Intel, AMD, or NVidia, which have extremely high energy and financial costs. However, thanks to the incredible progress made on CPUs and GPUs based on the ARM architecture and their ubiquity in today’s mo...

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Detalles Bibliográficos
Autores principales: Petrocelli, David, De Giusti, Armando Eduardo, Naiouf, Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
ARM
HPC
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/80351
Aporte de:
id I19-R120-10915-80351
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Smartphones
Distributed computing methodologies
Cloud computing
Mobile computing
Collaborative Computing
Android
ARM
HPC
spellingShingle Ciencias Informáticas
Smartphones
Distributed computing methodologies
Cloud computing
Mobile computing
Collaborative Computing
Android
ARM
HPC
Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
topic_facet Ciencias Informáticas
Smartphones
Distributed computing methodologies
Cloud computing
Mobile computing
Collaborative Computing
Android
ARM
HPC
description Compute-heavy workloads are currently run on Hybrid HPC structures using x86 CPUs and GPUs from Intel, AMD, or NVidia, which have extremely high energy and financial costs. However, thanks to the incredible progress made on CPUs and GPUs based on the ARM architecture and their ubiquity in today’s mobile devices, it’s possible to conceive of a low-cost solution for our world’s data processing needs. Every year ARM-based mobile devices become more powerful, efficient, and come in ever smaller packages with ever growing storage. At the same time, smartphones waste these capabilities at night while they’re charging. This represents billions of idle devices whose processing power is not being utilized. For that reason, the objective of this paper is to evaluate and develop a hybrid, distributed, scalable, and redundant platform that allows for the utilization of these idle devices through a cloud-based administration service. The system would allow for massive improvements in terms of efficiency and cost for com-pute-heavy workload. During the evaluation phase, we were able to establish savings in power and cost significant enough to justify exploring it as a serious alternative to traditional computing architectures.
format Objeto de conferencia
Objeto de conferencia
author Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_facet Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_sort Petrocelli, David
title Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
title_short Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
title_full Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
title_fullStr Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
title_full_unstemmed Hybrid Elastic ARM&Cloud HPC Collaborative Platform for generic tasks
title_sort hybrid elastic arm&cloud hpc collaborative platform for generic tasks
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/80351
work_keys_str_mv AT petrocellidavid hybridelasticarmcloudhpccollaborativeplatformforgenerictasks
AT degiustiarmandoeduardo hybridelasticarmcloudhpccollaborativeplatformforgenerictasks
AT naioufmarcelo hybridelasticarmcloudhpccollaborativeplatformforgenerictasks
bdutipo_str Repositorios
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