LIBROS DEL AUTOR: marian verhelst

10 resultados para LIBROS DEL AUTOR: marian verhelst

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  • Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
    Marian Verhelst / Vikram Jain
    This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable e...
    Disponible

    159,24 €

  • Efficient Execution of Irregular Dataflow Graphs
    Marian Verhelst / Nimish Shah / Wannes Meert
    This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular ...
    Disponible

    109,91 €

  • Efficient Execution of Irregular Dataflow Graphs
    Marian Verhelst / Nimish Shah / Wannes Meert
    This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular ...
    Disponible

    48,43 €

  • Hardware-Aware Probabilistic Machine Learning Models
    Laura Isabel Galindez Olascoaga / Marian Verhelst / Wannes Meert
    This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-e...
    Disponible

    80,55 €

  • Hardware-Aware Probabilistic Machine Learning Models
    Laura Isabel Galindez Olascoaga / Marian Verhelst / Wannes Meert
    This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-e...
    Disponible

    109,94 €

  • Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
    Chris Van Hoof / Marian Verhelst / Venkata Rajesh Pamula
    This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as 'analog-and-algorithm-assisted' signal processing.This enables significant power consumption reductions by implementing low power biosignal acquisiti...
    Disponible

    134,41 €

  • Embedded Deep Learning
    Bert Moons / Daniel Bankman / Marian Verhelst
    This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in fou...
    Disponible

    123,75 €

  • Embedded Deep Learning
    Bert Moons / Daniel Bankman / Marian Verhelst
    This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in fou...
    Disponible

    159,28 €

  • Energy Scalable Radio Design
    Marian Verhelst / Wim Dehaene
    Smart energy management, both at design time and at run time, is indispensable in modern radios. It requires a careful trade-off between the system’s performance, and its power consumption. Moreover, the design has to be dynamically reconfigurable to optimally balance these parameters at run time, depending on the current operating conditions. Energy ...
    Disponible

    255,81 €

  • Energy Scalable Radio Design
    Marian Verhelst / Wim Dehaene
    Smart energy management, both at design time and at run time, is indispensable in modern radios. It requires a careful trade-off between the system’s performance, and its power consumption. Moreover, the design has to be dynamically reconfigurable to optimally balance these parameters at run time, depending on the current operating conditions. Energy ...
    Disponible

    206,48 €