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Pregled bibliografske jedinice broj: 944823

Exploring manycore architectures for next- generation HPC systems through the MANGO approach


Flich, José; Agosta, Giovanni; Ampletzer, Philipp; Alonso, David Atienza; Brandolese, Carlo; Cappe, Etienne; Cilardo, Alessandro; Dragić, Leon; Dray, Alexandre; Duspara, Alen et al.
Exploring manycore architectures for next- generation HPC systems through the MANGO approach // Microprocessors and Microsystems, 61 (2018), 154-170 doi:10.1016/j.micpro.2018.05.011 (međunarodna recenzija, članak, znanstveni)


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Naslov
Exploring manycore architectures for next- generation HPC systems through the MANGO approach

Autori
Flich, José ; Agosta, Giovanni ; Ampletzer, Philipp ; Alonso, David Atienza ; Brandolese, Carlo ; Cappe, Etienne ; Cilardo, Alessandro ; Dragić, Leon ; Dray, Alexandre ; Duspara, Alen ; Fornaciari, William ; Fusella, Edoardo ; Gagliardi, Mirko ; Guillaume, Gerald ; Hofman, Daniel ; Hoornenborg, Ynse ; Iranfar, Arman ; Kovač, Mario ; Libutti, Simone ; Maitre, Bruno ; Martínez, José Maria ; Massari, Giuseppe ; Meinds, Koen ; Mlinarić, Hrvoje ; Papastefanakis, Ermis ; Picornell, Tomás ; Piljić, Igor ; Pupykina, Anna ; Reghenzani, Federico ; Staub, Isabelle ; Tornero, Rafael ; Zanella, Michele ; Zapater, Marina ; Zoni, Davide

Izvornik
Microprocessors and Microsystems (0141-9331) 61 (2018); 154-170

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
igh performance computingHeterogeneous architecturesParallel programmingProgramming modelResource managementPower modelingMemory managementThermal management

Sažetak
The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High-Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main goal of the project is to exploit customization to adapt computing resources to reach the desired QoS. For this purpose, it explores different but interrelated mechanisms across the architecture and system software. In particular, in this paper we focus on the runtime resource management, the thermal management, and support provided for parallel programming, as well as introducing three applications on which the project foreground will be validated.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Kovač (autor)

Avatar Url Hrvoje Mlinarić (autor)

Avatar Url Daniel Hofman (autor)

Avatar Url Alen Duspara (autor)

Citiraj ovu publikaciju

Flich, José; Agosta, Giovanni; Ampletzer, Philipp; Alonso, David Atienza; Brandolese, Carlo; Cappe, Etienne; Cilardo, Alessandro; Dragić, Leon; Dray, Alexandre; Duspara, Alen et al.
Exploring manycore architectures for next- generation HPC systems through the MANGO approach // Microprocessors and Microsystems, 61 (2018), 154-170 doi:10.1016/j.micpro.2018.05.011 (međunarodna recenzija, članak, znanstveni)
Flich, J., Agosta, G., Ampletzer, P., Alonso, D., Brandolese, C., Cappe, E., Cilardo, A., Dragić, L., Dray, A. & Duspara, A. (2018) Exploring manycore architectures for next- generation HPC systems through the MANGO approach. Microprocessors and Microsystems, 61, 154-170 doi:10.1016/j.micpro.2018.05.011.
@article{article, year = {2018}, pages = {154-170}, DOI = {10.1016/j.micpro.2018.05.011}, keywords = {igh performance computingHeterogeneous architecturesParallel programmingProgramming modelResource managementPower modelingMemory managementThermal management}, journal = {Microprocessors and Microsystems}, doi = {10.1016/j.micpro.2018.05.011}, volume = {61}, issn = {0141-9331}, title = {Exploring manycore architectures for next- generation HPC systems through the MANGO approach}, keyword = {igh performance computingHeterogeneous architecturesParallel programmingProgramming modelResource managementPower modelingMemory managementThermal management} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
  • Scopus


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