Paper Info
Title
Reliable Power And Time-Constraints-Aware Predictive Management Of Heterogeneous Exascale Systems
Abstract
The transition to Exascale computing is going to be characterised by an increased range of application classes. In addition to traditional massively parallel number crunching applications, new classes are emerging such as real-time HPC and data-intensive scalable computing. Furthermore, Exascale computing is characterised by a democratisation of HPC: to fully exploit the capabilities of Exascale-level facilities, HPC is moving towards enabling access to its resources to a wider range of new players, including SMEs, through cloud-based approaches [1]. Finally, the need for much higher energy efficiency is pushing towards deep heterogeneity, widening the range of options for acceleration, moving from the traditional CPU-only organization, to the CPU plus GPU which currently dominates the Green500 1 , to more complex options including programmable accelerators and even (reconfigurable) hardware accelerators [2].
Year
DOI
Venue
2018
10.1145/3229631.3239368
2018 INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS XVIII)
Field
DocType
Citations 
Exascale computing,Central processing unit,Hardware security module,Efficient energy use,Computer science,Massively parallel,Exploit,Obfuscation,Distributed computing,Cloud computing
Conference
4
PageRank 
References 
Authors
0.42
27
21
Name
Order
Citations
PageRank
William Fornaciari154367.45
Giovanni Agosta236349.06
D. Atienza318224.26
C. Brandolese416518.13
Leila Cammoun515011.65
Luca Cremona681.84
Alessandro Cilardo726732.55
Albert Farrés8152.08
J. Flich977552.09
Carles HernáNdez1017626.56
Michal Kulchewski1140.42
Simone Libutti12215.24
José Maria Martínez1340.42
Giuseppe Massari148314.34
Ariel Oleksiak1519920.20
Anna Pupykina16121.90
Federico Reghenzani17245.44
Rafael Tornero18526.24
Michele Zanella1993.27
Marina Zapater20468.05
Davide Zoni219314.33