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Vikram Jain – författare

Visar alla böcker från författaren Vikram Jain. Handla med fri frakt och snabb leverans.

3 produkter

  1. Vikram Jain, Marian Verhelst - Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning, Inbunden. Tillgänglighet: Lägg i varukorg

    Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

    Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

    Av Vikram Jain, Marian Verhelst

    Inbunden, 2023

    1423 kr

    Lägg i varukorg

    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 …

  2. Marian Verhelst, Vikram Jain - Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning, E-bok. Tillgänglighet: Lägg i varukorg

    Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

    Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

    Av Marian Verhelst, Vikram Jain

    E-bok, 2023

    1746 kr

    Lägg i varukorg

    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 …

  3. Vikram Jain, Marian Verhelst - Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning, Häftad. Tillgänglighet: Lägg i varukorg

    Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

    Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

    Av Vikram Jain, Marian Verhelst

    Häftad, 2024

    1096 kr

    Lägg i varukorg

    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 …