publication . Conference object . 2018

The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support

Andrea Bartolini; Andrea Borghesi; Antonio Libri; Francesco Beneventi; Daniele Gregori; Simone Tinti; Cosimo Gianfreda; Piero Altoè;
Open Access English
  • Published: 08 May 2018
  • Publisher: Association for Computing Machinery (ACM)
Abstract
Proceedings of the 15th ACM International Conference on Computing Frontiers (CF 2018)
ISBN:978-1-4503-5761-6
Sustainable Development Goals (SDG) [Beta]
Subjects
free text keywords: Big Data, High Performance Computing, Fine-Grain Power and Performance Monitoring, AMESTER, BeagleBone Black, Big Data; High Performance Computing; Fine-Grain Power and Performance Monitoring; AMESTER; BeagleBone Black, Big Data; High Performance Computing; Fine-Grain Power and Performance Monitoring; AMESTER; BeagleBone Black, Big Data, High Performance Computing, Fine-Grain Power and Performance Monitoring, AMESTER, BeagleBone Black, Energy consumption, Embedded system, business.industry, business, Visualization, Big data, Power (physics), Supercomputer, Cost effectiveness, NoSQL, computer.software_genre, computer, Computer science, MQTT
Communities
Communities with gateway
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Funded by
EC| ANTAREX
Project
ANTAREX
AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems
  • Funder: European Commission (EC)
  • Project Code: 671623
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| MULTITHERMAN
Project
MULTITHERMAN
Multiscale Thermal Management of Computing Systems
  • Funder: European Commission (EC)
  • Project Code: 291125
  • Funding stream: FP7 | SP2 | ERC
,
EC| ExaNoDe
Project
ExaNoDe
European Exascale Processor Memory Node Design
  • Funder: European Commission (EC)
  • Project Code: 671578
  • Funding stream: H2020 | RIA
Validated by funder
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