The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform
Luca Benini - One of the best experts on this subject based on the ideXlab platform.
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Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
IEEE Transactions on Parallel and Distributed Systems, 2018Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes featuring the same nominal HW components (e.g., processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e., ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workloads intensity. Our experiments demonstrate that variability comes from hardware component mismatches as well as from the interplay between run-time energy management and workload variations. Thus, variability has a significant impact on energy efficiency even at the moderate scale of the Eurora machine, thereby substantiating the critical importance of variability management in future green Supercomputers.
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quantifying the impact of variability on the energy efficiency for a next generation ultra green Supercomputer
International Symposium on Low Power Electronics and Design, 2014Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique ‘living lab’ for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
Francesco Fraternali - One of the best experts on this subject based on the ideXlab platform.
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Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
IEEE Transactions on Parallel and Distributed Systems, 2018Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes featuring the same nominal HW components (e.g., processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e., ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workloads intensity. Our experiments demonstrate that variability comes from hardware component mismatches as well as from the interplay between run-time energy management and workload variations. Thus, variability has a significant impact on energy efficiency even at the moderate scale of the Eurora machine, thereby substantiating the critical importance of variability management in future green Supercomputers.
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quantifying the impact of variability on the energy efficiency for a next generation ultra green Supercomputer
International Symposium on Low Power Electronics and Design, 2014Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique ‘living lab’ for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
Carlo Cavazzoni - One of the best experts on this subject based on the ideXlab platform.
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Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
IEEE Transactions on Parallel and Distributed Systems, 2018Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes featuring the same nominal HW components (e.g., processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e., ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workloads intensity. Our experiments demonstrate that variability comes from hardware component mismatches as well as from the interplay between run-time energy management and workload variations. Thus, variability has a significant impact on energy efficiency even at the moderate scale of the Eurora machine, thereby substantiating the critical importance of variability management in future green Supercomputers.
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quantifying the impact of variability on the energy efficiency for a next generation ultra green Supercomputer
International Symposium on Low Power Electronics and Design, 2014Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique ‘living lab’ for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
Andrea Bartolini - One of the best experts on this subject based on the ideXlab platform.
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Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
IEEE Transactions on Parallel and Distributed Systems, 2018Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes featuring the same nominal HW components (e.g., processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e., ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workloads intensity. Our experiments demonstrate that variability comes from hardware component mismatches as well as from the interplay between run-time energy management and workload variations. Thus, variability has a significant impact on energy efficiency even at the moderate scale of the Eurora machine, thereby substantiating the critical importance of variability management in future green Supercomputers.
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quantifying the impact of variability on the energy efficiency for a next generation ultra green Supercomputer
International Symposium on Low Power Electronics and Design, 2014Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique ‘living lab’ for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
Giampietro Tecchiolli - One of the best experts on this subject based on the ideXlab platform.
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quantifying the impact of variability on the energy efficiency for a next generation ultra green Supercomputer
International Symposium on Low Power Electronics and Design, 2014Co-Authors: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca BeniniAbstract:Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational Supercomputer prototype that topped July 2013 Green500 and it represents a unique ‘living lab’ for next-generation ultra-green Supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
