The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform
Davide Bertozzi - One of the best experts on this subject based on the ideXlab platform.
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ssdexplorer a Virtual Platform for performance reliability oriented fine grained design space exploration of solid state drives
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2015Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, Davide Bertozzi, P OlivoAbstract:Currently available electronic design automation tools for design space exploration of solid state drives (SSDs) are not able to assess: 1) the device architecture inefficiencies; 2) architecture overdesign for a target performance; and 3) performance degradation caused by the disk usage. These tools feature either an overly high abstraction modeling strategy or lack the required flexibility to perform design exploration. To overcome these problems, this paper proposes SSDExplorer, a tool for fine-grained yet reasonably fast design space exploration of different SSD architectures highlighting possible bottlenecks. To prove its accuracy SSDExplorer has been validated with two real SSDs. SSDExplorer efficiency has been assessed by evaluating the impact of the NAND flash read retry algorithm impact on the SSD performance as a function of its internal architecture.
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ssdexplorer a Virtual Platform for fine grained design space exploration of solid state drives
Design Automation and Test in Europe, 2014Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Salvatore Galfano, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, P Olivo, Davide BertozziAbstract:Solid State Drives (SSDs) are gaining particular momentum in various frameworks such as multimedia, large data centers and cloud environments. Unfortunately, efficient CAD tools for SSD design space exploration able to assess the optimization of the device microarchitecture w.r.t. the target performance are still missing. This paper tries to close this gap by proposing SSDExplorer, a tool for fine-grained and fast design space exploration of SSD devices. SSDExplorer provides unprecedented insights into the architecture behavior and subcomponent interaction efficiency, while avoiding the need for the actual implementation of an FTL or of key hardware components. This is achieved by the introduction of suitable abstractions of the different components. This is confirmed by the thorough validation of SSDExplorer against a commercial SSD device.
Dominique Gruyer - One of the best experts on this subject based on the ideXlab platform.
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from Virtual to reality how to prototype test and evaluate new adas application to automatic car parking
IEEE Intelligent Vehicles Symposium, 2014Co-Authors: Dominique Gruyer, Sungwoo Choi, Clement Boussard, Brigitte DandreanovelAbstract:Over the past decade, a lot of researches have been done on the development of advanced driver assistance systems (ADAS). Most of these ADAS are now active and need to be tested and evaluated before large deployment. In these ADAS, the prototyping and the implementation of the control stages are risky stages and not so easy to carry out. Indeed, the prototyping and the test of such reactive algorithms need heavy hardware and software supports (dedicated vehicle, actuators, hardware architecture, software architecture, sensors). To achieve such active devices, additional developments and implementation of numerous expensive embedded devices are required. Therefore, in order to reduce both time and risk, in early design stage, it becomes necessary to have a very realistic simulation environment dedicated to the development and to the evaluation of these ADAS. For such Virtual Platform, it is mandatory to provide physics-driven road environments, Virtual embedded sensors, and physics-based vehicle models. In this publication, we present a dedicated couple of Platforms with their efficient interconnection for the prototyping of such ADAS. Initially, the SiVIC simulation Platform has been developed to generate the Virtual world (environments, sensors, actuators, vehicles). In order to improve the real time prototyping capabilities of SiVIC, an efficient interconnection of this first Platform has been done with RTMaps Platform. This second one is mainly dedicated to the multi-sensors data processing (data management, fusion, flow recording and replaying). In this paper we will show the interest of such bi-directionnal interconnected Platforms to prototype complex and real time embedded ADAS. This interconnection can be done as well on an only one computeur than on a distributed and distant computers architecture. The relevance of this approach will be illustrated with an automatic parking application.
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a computational model of the car driver interfaced with a simulation Platform for future Virtual human centred design applications cosmo sivic
Engineering Applications of Artificial Intelligence, 2012Co-Authors: Thierry Bellet, Pierre Mayenobe, Jean-charles Bornard, Dominique Gruyer, Bernard ClaverieAbstract:This paper presents the first step of a research programme implemented by IFSTTAR in order to develop an integrative simulation Platform able to support a Human Centred Design (HCD) method for Virtual design of driving assistances. This Virtual Platform, named COSMO-SiVIC, implements a COgnitive Simulation MOdel of the DRIVEr (i.e. COSMODRIVE) into a Vehicle-Environment-Sensors Platform (named SiVIC, for Simulateur Vehicule-Infrastructure-Capteur). From this simulation tool based on a computational driver model, the design costs of driving assistances is expected to reduce in the future, and the end-users needs during the design process are also better taken into account. This article is mainly focussed on the description of the driver model developed and implemented on the SiVIC Virtual Platform, which is only the first step towards a future Virtual HCD integrated tool. The first section will discuss the research context and objective, and the second one will present the theoretical background in cognitive sciences supporting our driver modelling approach. Then, the SiVIC tool is used in this research as a methodological and technical support for both empirical data collection among human drivers and as a Virtual road environment to be interfaced with the COSMODRIVE model. In the result section, the functional architecture of COSMO-SIVIC (based on three complementary modules of Perception, Decision and Action) will be described, and an example of Virtual simulation of human driver's errors due to visual distraction while driving will be presented. The perspectives concerning future use of COSMO-SIVIC for Virtual HCD will be then discussed in the conclusion section.
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cosmo sivic a first step towards a Virtual Platform for human centred design of driving assistances
Analysis Design and Evaluation of Human-Machine Systems, 2010Co-Authors: Thierry Bellet, Pierre Mayenobe, Jean-charles Bornard, Dominique Gruyer, Benoit MathernAbstract:Abstract This paper presents the first step of research work implemented by INRETS in the frame of the ISi-PADAS European project, in order to develop a simulation Platform able to support a Human Centred Design (HCD) method for Virtual design of driving assistances. This HCD tool (called COSMO-SiVIC) integrates a cognitive simulation model of the Driver (called COSMODRIVE) on a Virtual Vehicle-Environment Platform (SiVIC). From this future tool, it is expected to compare since the earlier stages of the technological design, Virtual simulation of driving performances with and without driving assistance, and thus to appreciate the potential benefits, interests and risks of vehicle automation on road safety.
Lorenzo Zuolo - One of the best experts on this subject based on the ideXlab platform.
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ssdexplorer a Virtual Platform for performance reliability oriented fine grained design space exploration of solid state drives
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2015Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, Davide Bertozzi, P OlivoAbstract:Currently available electronic design automation tools for design space exploration of solid state drives (SSDs) are not able to assess: 1) the device architecture inefficiencies; 2) architecture overdesign for a target performance; and 3) performance degradation caused by the disk usage. These tools feature either an overly high abstraction modeling strategy or lack the required flexibility to perform design exploration. To overcome these problems, this paper proposes SSDExplorer, a tool for fine-grained yet reasonably fast design space exploration of different SSD architectures highlighting possible bottlenecks. To prove its accuracy SSDExplorer has been validated with two real SSDs. SSDExplorer efficiency has been assessed by evaluating the impact of the NAND flash read retry algorithm impact on the SSD performance as a function of its internal architecture.
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ssdexplorer a Virtual Platform for fine grained design space exploration of solid state drives
Design Automation and Test in Europe, 2014Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Salvatore Galfano, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, P Olivo, Davide BertozziAbstract:Solid State Drives (SSDs) are gaining particular momentum in various frameworks such as multimedia, large data centers and cloud environments. Unfortunately, efficient CAD tools for SSD design space exploration able to assess the optimization of the device microarchitecture w.r.t. the target performance are still missing. This paper tries to close this gap by proposing SSDExplorer, a tool for fine-grained and fast design space exploration of SSD devices. SSDExplorer provides unprecedented insights into the architecture behavior and subcomponent interaction efficiency, while avoiding the need for the actual implementation of an FTL or of key hardware components. This is achieved by the introduction of suitable abstractions of the different components. This is confirmed by the thorough validation of SSDExplorer against a commercial SSD device.
P Olivo - One of the best experts on this subject based on the ideXlab platform.
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ssdexplorer a Virtual Platform for performance reliability oriented fine grained design space exploration of solid state drives
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2015Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, Davide Bertozzi, P OlivoAbstract:Currently available electronic design automation tools for design space exploration of solid state drives (SSDs) are not able to assess: 1) the device architecture inefficiencies; 2) architecture overdesign for a target performance; and 3) performance degradation caused by the disk usage. These tools feature either an overly high abstraction modeling strategy or lack the required flexibility to perform design exploration. To overcome these problems, this paper proposes SSDExplorer, a tool for fine-grained yet reasonably fast design space exploration of different SSD architectures highlighting possible bottlenecks. To prove its accuracy SSDExplorer has been validated with two real SSDs. SSDExplorer efficiency has been assessed by evaluating the impact of the NAND flash read retry algorithm impact on the SSD performance as a function of its internal architecture.
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ssdexplorer a Virtual Platform for fine grained design space exploration of solid state drives
Design Automation and Test in Europe, 2014Co-Authors: Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Salvatore Galfano, Marco Indaco, Stefano Di Carlo, Paolo Prinetto, P Olivo, Davide BertozziAbstract:Solid State Drives (SSDs) are gaining particular momentum in various frameworks such as multimedia, large data centers and cloud environments. Unfortunately, efficient CAD tools for SSD design space exploration able to assess the optimization of the device microarchitecture w.r.t. the target performance are still missing. This paper tries to close this gap by proposing SSDExplorer, a tool for fine-grained and fast design space exploration of SSD devices. SSDExplorer provides unprecedented insights into the architecture behavior and subcomponent interaction efficiency, while avoiding the need for the actual implementation of an FTL or of key hardware components. This is achieved by the introduction of suitable abstractions of the different components. This is confirmed by the thorough validation of SSDExplorer against a commercial SSD device.
Bernard Claverie - One of the best experts on this subject based on the ideXlab platform.
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a computational model of the car driver interfaced with a simulation Platform for future Virtual human centred design applications cosmo sivic
Engineering Applications of Artificial Intelligence, 2012Co-Authors: Thierry Bellet, Pierre Mayenobe, Jean-charles Bornard, Dominique Gruyer, Bernard ClaverieAbstract:This paper presents the first step of a research programme implemented by IFSTTAR in order to develop an integrative simulation Platform able to support a Human Centred Design (HCD) method for Virtual design of driving assistances. This Virtual Platform, named COSMO-SiVIC, implements a COgnitive Simulation MOdel of the DRIVEr (i.e. COSMODRIVE) into a Vehicle-Environment-Sensors Platform (named SiVIC, for Simulateur Vehicule-Infrastructure-Capteur). From this simulation tool based on a computational driver model, the design costs of driving assistances is expected to reduce in the future, and the end-users needs during the design process are also better taken into account. This article is mainly focussed on the description of the driver model developed and implemented on the SiVIC Virtual Platform, which is only the first step towards a future Virtual HCD integrated tool. The first section will discuss the research context and objective, and the second one will present the theoretical background in cognitive sciences supporting our driver modelling approach. Then, the SiVIC tool is used in this research as a methodological and technical support for both empirical data collection among human drivers and as a Virtual road environment to be interfaced with the COSMODRIVE model. In the result section, the functional architecture of COSMO-SIVIC (based on three complementary modules of Perception, Decision and Action) will be described, and an example of Virtual simulation of human driver's errors due to visual distraction while driving will be presented. The perspectives concerning future use of COSMO-SIVIC for Virtual HCD will be then discussed in the conclusion section.
