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Giuseppe Massari
Giuseppe Massari
DEIB Politecnico di Milano
Verified email at polimi.it
Title
Cited by
Cited by
Year
The Real-Time Linux Kernel: A Survey on PREEMPT_RT
F Reghenzani, G Massari, W Fornaciari
ACM Computing Surveys (CSUR) 52 (1), 18, 2019
1912019
Effective Runtime Resource Management Using Linux Control Groups with the BarbequeRTRM Framework
P Bellasi, G Massari, W Fornaciari
ACM Transactions on Embedded Computing Systems (TECS) 14 (2), 39, 2015
622015
A RTRM proposal for multi/many-core platforms and reconfigurable applications
P Bellasi, G Massari, W Fornaciari
7th International Workshop on Reconfigurable and Communication-Centric …, 2012
522012
Managing Heterogeneous Resources in HPC Systems
G Agosta, W Fornaciari, G Massari, A Pupykina, F Reghenzani, M Zanella
Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and …, 2018
362018
Predictive reliability and fault management in exascale systems: State of the art and perspectives
R Canal, C Hernandez, R Tornero, A Cilardo, G Massari, F Reghenzani, ...
ACM Computing Surveys (CSUR) 53 (5), 1-32, 2020
312020
Mango: Exploring manycore architectures for next-generation hpc systems
J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, E Cappe, ...
2017 Euromicro Conference on Digital System Design (DSD), 478-485, 2017
292017
Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems
W Fornaciari, G Agosta, D Atienza, C Brandolese, L Cammoun, ...
Proceedings of the 18th International Conference on Embedded Computer …, 2018
252018
Exploring manycore architectures for next-generation HPC systems through the MANGO approach
J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, E Cappe, ...
Microprocessors and Microsystems 61, 154-170, 2018
232018
Exploring Manycore Architectures for Next-Generation HPC Systems through the MANGO Approach
J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, E Cappe, ...
MICROPROCESSORS AND MICROSYSTEMS 61, 154-170, 2018
232018
Enabling HPC for QoS-sensitive applications: the MANGO approach
J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, A Cilardo, ...
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016 …, 2016
212016
Exploiting Performance Counters for Energy Efficient Co-Scheduling of Mixed Workloads on Multi-Core Platforms
S Libutti, G Massari, P Bellasi, W Fornaciari
Proceedings of Workshop on Parallel Programming and Run-Time Management …, 2014
212014
Probabilistic-WCET Reliability: On the experimental validation of EVT hypotheses
F Reghenzani, G Massari, W Fornaciari, A Galimberti
Proceedings of the International Conference on Omni-Layer Intelligent …, 2019
192019
chronovise: Measurement-based probabilistic timing analysis framework
F Reghenzani, G Massari, W Fornaciari
Journal of Open Source Software 3, 711-713, 2018
192018
Mixed time-criticality process interferences characterization on a multicore linux system
F Reghenzani, G Massari, W Fornaciari
2017 Euromicro Conference on Digital System Design (DSD), 427-434, 2017
192017
Co-scheduling tasks on multi-core heterogeneous systems: An energy-aware perspective
S Libutti, G Massari, W Fornaciari
IET Computers & Digital Techniques 10 (2), 77-84, 2016
182016
Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems
G Massari, C Caffarri, P Bellasi, W Fornaciari
Proceedings of Workshop on Parallel Programming and Run-Time Management …, 2014
172014
A Probabilistic Approach to Energy-Constrained Mixed-Criticality Systems
F Reghenzani, G Massari, W Fornaciari
2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019
162019
Probabilistic-WCET reliability: Statistical testing of EVT hypotheses
F Reghenzani, G Massari, W Fornaciari
Microprocessors and Microsystems 77, 103135, 2020
152020
Back to the future: resource management in post-cloud solutions
M Zanella, G Massari, A Galimberti, W Fornaciari
Proceedings of the Workshop on INTelligent Embedded Systems Architectures …, 2018
152018
Timing Predictability in High-Performance Computing with Probabilistic Real-Time
F Reghenzani, G Massari, W Fornaciari
IEEE Access 8, 208566-208582, 2020
142020
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