The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. Many recent HPC applications require huge amounts of information to be processed within a bounded amount of time while EC systems are increasingly concerned with providing higher performance in real-time. The convergence of these two domains towards systems requiring both high performance and a predictable time-behavior challenges the capabilities of current hardware architectures. Fortunately, the advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictability and high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. However, addressing this mixed set of requirements is not without its own challenges and it is now of paramount importance to develop new techniques to exploit the massively parallel computation capabilities of many-core platforms in a predictable way. © Vincent Nélis, Patrick Meumeu Yomsi, Luís Miguel Pinho, José Carlos Fonseca, Marko Bertogna, Eduardo Quiñones, Roberto Vargas, and Andrea Marongiu.

The Challenge of Time-Predictability in Modern Many-Core Architectures / Nã©lis, Vincent; Yomsi, Patrick Meumeu; Pinho, Luís Miguel; Fonseca, José Carlos; Bertogna, Marko; Quiã±ones, Eduardo; Vargas, Roberto; Marongiu, Andrea. - ELETTRONICO. - 39:(2014), pp. 63-72. (Intervento presentato al convegno 14th International Workshop on Worst-Case Execution Time Analysis, WCET 2014 tenutosi a Madrid, esp nel 2014) [10.4230/OASIcs.WCET.2014.63].

The Challenge of Time-Predictability in Modern Many-Core Architectures

Bertogna, Marko;Marongiu, Andrea
2014

Abstract

The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. Many recent HPC applications require huge amounts of information to be processed within a bounded amount of time while EC systems are increasingly concerned with providing higher performance in real-time. The convergence of these two domains towards systems requiring both high performance and a predictable time-behavior challenges the capabilities of current hardware architectures. Fortunately, the advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictability and high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. However, addressing this mixed set of requirements is not without its own challenges and it is now of paramount importance to develop new techniques to exploit the massively parallel computation capabilities of many-core platforms in a predictable way. © Vincent Nélis, Patrick Meumeu Yomsi, Luís Miguel Pinho, José Carlos Fonseca, Marko Bertogna, Eduardo Quiñones, Roberto Vargas, and Andrea Marongiu.
2014
14th International Workshop on Worst-Case Execution Time Analysis, WCET 2014
Madrid, esp
2014
39
63
72
Nã©lis, Vincent; Yomsi, Patrick Meumeu; Pinho, Luís Miguel; Fonseca, José Carlos; Bertogna, Marko; Quiã±ones, Eduardo; Vargas, Roberto; Marongiu, An...espandi
The Challenge of Time-Predictability in Modern Many-Core Architectures / Nã©lis, Vincent; Yomsi, Patrick Meumeu; Pinho, Luís Miguel; Fonseca, José Carlos; Bertogna, Marko; Quiã±ones, Eduardo; Vargas, Roberto; Marongiu, Andrea. - ELETTRONICO. - 39:(2014), pp. 63-72. (Intervento presentato al convegno 14th International Workshop on Worst-Case Execution Time Analysis, WCET 2014 tenutosi a Madrid, esp nel 2014) [10.4230/OASIcs.WCET.2014.63].
File in questo prodotto:
File Dimensione Formato  
OASIcs.WCET.2014.63.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 458.71 kB
Formato Adobe PDF
458.71 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1171907
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? ND
social impact