21 research outputs found

    Image Feature Extraction Acceleration

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    Image feature extraction is instrumental for most of the best-performing algorithms in computer vision. However, it is also expensive in terms of computational and memory resources for embedded systems due to the need of dealing with individual pixels at the earliest processing levels. In this regard, conventional system architectures do not take advantage of potential exploitation of parallelism and distributed memory from the very beginning of the processing chain. Raw pixel values provided by the front-end image sensor are squeezed into a high-speed interface with the rest of system components. Only then, after deserializing this massive dataflow, parallelism, if any, is exploited. This chapter introduces a rather different approach from an architectural point of view. We present two Application-Specific Integrated Circuits (ASICs) where the 2-D array of photo-sensitive devices featured by regular imagers is combined with distributed memory supporting concurrent processing. Custom circuitry is added per pixel in order to accelerate image feature extraction right at the focal plane. Specifically, the proposed sensing-processing chips aim at the acceleration of two flagships algorithms within the computer vision community: the Viola-Jones face detection algorithm and the Scale Invariant Feature Transform (SIFT). Experimental results prove the feasibility and benefits of this architectural solution.Ministerio de Economía y Competitividad TEC2012-38921-C02, IPT-2011- 1625-430000, IPC-20111009Junta de Andalucía TIC 2338-2013Xunta de Galicia EM2013/038Office of NavalResearch (USA) N00014141035

    Non Volatile Memory Devices

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    SSD Architecture and PCI Express Interface

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    Scanning the Issue: 3-D Integration Technologies

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    Memorie in sistemi wireless

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    Il testo tratta le principali problematiche relative alle memorie non volatili all'interno dei sistemi wireles

    Risks for signal integrity in system in package and possible remedies

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    We analyze the electrical phenomena that can affect the integrity of the communication among different chips within a System in Package (SiP). We address these issues for a real case, for which electrical parameters are extracted from layout and used to build a netlist employed for electrical characterization. We show that crosstalk, and in particular inductive crosstalk, is the electrical phenomenon mainly affecting signal transmission within the SiP. Then, we evaluate the kinds of errors that can be originated. We show that errors caused by inductive coupling among SiP interconnects can be unidirectional only, thus allowing designers to implement error control coding techniques based on All Unidirectional Error Detecting codes. This allows significant cost reduction over the alternate use of non-unidirectional error detecting codes. © 2008 IEEE

    Risks for Signal Integrity in System in Package and Possible Remedies

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    We analyze the electrical phenomena that can affect the integrity of the communication among different chips within a System in Package (SiP). We address these issues for a real case, for which electrical parameters are extracted from layout and used to build a netlist employed for electrical characterization. We show that crosstalk, and in particular inductive crosstalk, is the electrical phenomenon mainly affecting signal transmission within the SiP. Then, we evaluate the kinds of errors that can be originated. We show that errors caused by inductive coupling among SiP interconnects can be unidirectional only, thus allowing designers to implement error control coding techniques based on All Unidirectional Error Detecting codes. This allows significant cost reduction over the alternate use of non-unidirectional error detecting codes
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