VIRTUOS - Virtualisation and Operating Systems
Recerca en optimització de sistemes operatius i tecnologies de virtualització, especialment tecnologies de virtualització lleugera com contenidors i unikernels. El grup de recerca està format per un equip interdisciplinar amb perfils complementaris que cobreixen un gran ventall de especialitzacions i amb àrees de interès aplicades a diversos entorns, com ara datacenters, cyber-physical systems i edge computing. Aquestes àrees d’interès són principalment optimització en la gestió de recursos hardware i software, tant per part del sistema operatiu com per part dels elements virtualitzats, tecnologies de privacitat i seguretat, metodologies de fiabilitat i resiliència i models matemàtics per caracteritzar i optimitzar parts del sistema.
Investigación en optimización de sistemas operativos y tecnologías de virtualización, especialmente tecnologías de virtualización ligera como contenedores y unikernels. El grupo de investigación está formado por un equipo interdisciplinar con perfiles complementarios que cubren un gran abanico de especializaciones y con áreas de interés aplicadas a diversos entornos, tales como datacenters, cyber-physical Systems y edge computing. Estas áreas de interés son principalmente optimización en la gestión de recursos hardware y software, tanto por parte del sistema operativo como por parte de los elementos virtualizados, tecnologías de privacidad y seguridad, metodologías de fiabilidad y resiliencia y modelos matemáticos para caracterizar y optimizar partes del sistema.
Research aimed at optimization of Operating Systems and virtualization technologies, especially lightweight virtualization technologies such as containers and unikernels. The research group comprises interdisciplinary members with complementary skills that meet a wide range of specializations and with areas of interest targeting different environments, like datacenters, cyber-physical systems and edge computing. These areas of interest are mainly optimization of hardware and software resource management, whether on the part of operating system or on the part of virtualized elements, privacy and security technologies, methodologies of reliability and resiliency and mathematic models to characterize and optimize parts of the system.
Research aimed at optimization of Operating Systems and virtualization technologies, especially lightweight virtualization technologies such as containers and unikernels. The research group comprises interdisciplinary members with complementary skills that meet a wide range of specializations and with areas of interest targeting different environments, like datacenters, cyber-physical systems and edge computing. These areas of interest are mainly optimization of hardware and software resource management, whether on the part of operating system or on the part of virtualized elements, privacy and security technologies, methodologies of reliability and resiliency and mathematic models to characterize and optimize parts of the system.
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Recent Submissions
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Distributed training of deep neural networks with spark: The MareNostrum experience
(Elsevier, 2019-07-01)
Article
Restricted access - publisher's policyDeployment of a distributed deep learning technology stack on a large parallel system is a very complex process, involving the integration and configuration of several layers of both, general-purpose and custom software. ... -
Artificial neural networks as emerging tools for earthquake detection
(2019)
Article
Open AccessAs seismic networks continue to spread and monitoring sensors become more ef¿cient, the abundance of data highly surpasses the processing capabilities of earthquake interpretation analysts. Earthquake catalogs are fundamental ... -
SyRA: early system reliability analysis for cross-layer soft errors resilience in memory arrays of microprocessor systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018-01-01)
Article
Open AccessCross-layer reliability is becoming the preferred solution when reliability is a concern in the design of a microprocessor-based system. Nevertheless, deciding how to distribute the error management across the different ... -
Modem gain-cell memories in advanced technologies
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessWith the advent of the slowdown in DRAM capacitor scaling [1] and the increased reliability problems of traditional 6T SRAM memories [2], industry and academia have looked for alternative memory cells. Among those, gain- ... -
Optimization of FinFET-based gain cells for low power sub-vt embedded drams
(2018-06-01)
Article
Open AccessSub-threshold circuits (sub-V T) are a promising alternative in the implementation of low power electronics. The implementation of gain-cell embedded DRAMs (eDRAMs) based on FinFET devices requires a careful design to ... -
Virtualizing the Edge: Needs, Opportunities and Trends
(2018)
Conference report
Restricted access - publisher's policyCloud computing, Fog computing; Virtualization -
Replacing 6T SRAMs with 3T1D DRAMs in the L1 data cache to combat process variability
(2008-02)
Article
Open AccessWith continued technology scaling, process variations will be especially detrimental to six-transistor static memory structures (6T SRAMs). A memory architecture using three-transistor, one-diode DRAM (3T1D) cells in the ... -
Review on suitable eDRAM configurations for next nano-metric electronics era
(2018-03)
Article
Open AccessWe summarize most of our studies focused on the main reliability issues that can threat the gain-cells eDRAM behavior when it is simulated at the nano-metric device range has been collected in this review. So, to outperform ...
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