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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
high performance computing ; heterogeneous architectures ; parallel programming ; programming model ; resource management ; power modeling ; memory management ; thermal 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 Daniel Hofman (autor)

Avatar Url Alen Duspara (autor)

Avatar Url Hrvoje Mlinarić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

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, author = {Flich, Jos\'{e} and Agosta, Giovanni and Ampletzer, Philipp and Alonso, David Atienza and Brandolese, Carlo and Cappe, Etienne and Cilardo, Alessandro and Dragi\'{c}, Leon and Dray, Alexandre and Duspara, Alen and Fornaciari, William and Fusella, Edoardo and Gagliardi, Mirko and Guillaume, Gerald and Hofman, Daniel and Hoornenborg, Ynse and Iranfar, Arman and Kova\v{c}, Mario and Libutti, Simone and Maitre, Bruno and Mart\'{\i}nez, Jos\'{e} Maria and Massari, Giuseppe and Meinds, Koen and Mlinari\'{c}, Hrvoje and Papastefanakis, Ermis and Picornell, Tom\'{a}s and Pilji\'{c}, Igor and Pupykina, Anna and Reghenzani, Federico and Staub, Isabelle and Tornero, Rafael and Zanella, Michele and Zapater, Marina and Zoni, Davide}, year = {2018}, pages = {154-170}, DOI = {10.1016/j.micpro.2018.05.011}, keywords = {high performance computing, heterogeneous architectures, parallel programming, programming model, resource management, power modeling, memory management, thermal 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 = {high performance computing, heterogeneous architectures, parallel programming, programming model, resource management, power modeling, memory management, thermal management} }
@article{article, author = {Flich, Jos\'{e} and Agosta, Giovanni and Ampletzer, Philipp and Alonso, David Atienza and Brandolese, Carlo and Cappe, Etienne and Cilardo, Alessandro and Dragi\'{c}, Leon and Dray, Alexandre and Duspara, Alen and Fornaciari, William and Fusella, Edoardo and Gagliardi, Mirko and Guillaume, Gerald and Hofman, Daniel and Hoornenborg, Ynse and Iranfar, Arman and Kova\v{c}, Mario and Libutti, Simone and Maitre, Bruno and Mart\'{\i}nez, Jos\'{e} Maria and Massari, Giuseppe and Meinds, Koen and Mlinari\'{c}, Hrvoje and Papastefanakis, Ermis and Picornell, Tom\'{a}s and Pilji\'{c}, Igor and Pupykina, Anna and Reghenzani, Federico and Staub, Isabelle and Tornero, Rafael and Zanella, Michele and Zapater, Marina and Zoni, Davide}, year = {2018}, pages = {154-170}, DOI = {10.1016/j.micpro.2018.05.011}, keywords = {high performance computing, heterogeneous architectures, parallel programming, programming model, resource management, power modeling, memory management, thermal 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 = {high performance computing, heterogeneous architectures, parallel programming, programming model, resource management, power modeling, memory management, thermal management} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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