Raphaël David, CEA LIST, France


Early Benchmarking of MPSOC for image and vision applications


Image and vision applications are known to be very consuming in terms of computing and storage capabilities, but also exhibit a wide diversity in terms of computing models and data access patterns. Choosing the right computation resources for a given application and a set of integration constraints is thus very challenging and actually leverage on deep experts knowledge very long benchmarking processes. During this talk we will discuss an approach for the early evaluation of the {application, programming model, architecture} triplet to reduce benchmarking process time. Pedestrian detection application will be considered as use case to highlight performance variability and programming model dependability for the evaluation of state-of-the-art MPSOC components. A wide range of computing solutions will be considered form general purpose workstation processor (Intel) to embedded multi-core processor (ARM) and many-core devices (Tilera) to quantify the benefits of the approach.


Dr. Raphaël David is a senior expert at CEA LIST, in the field of embedded parallel architectures. He received his PhD degree in computer engineering for having designed the DART reconfigurable processor, from the University of Rennes I, France, in 2003. He has joined the CEA LIST in a post-doctoral position to study reconfigurable architectures benefits to reduce power consumption of embedded systems. Since 2004 he has proposed dynamic execution models for programmable and reconfigurable multi- and many-cores systems to support variable execution conditions, either coming from technology or data-dependant applications. He has managed these activities as the leader of the MPSOC design team in CEA LIST from 2006 to 2009 and has explored the architectures design space to support such advanced execution models in various national and European projects. His research interests also include the dynamically reconfigurable processors for image processing and low power design. Raphaël David took the lead of the Embedded Computing Laboratory of the CEA LIST in 2010 to design high performance embedded architectures for image processing and vision systems.

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