Marian Verhelst – författare
Visar alla böcker från författaren Marian Verhelst. Handla med fri frakt och snabb leverans.
17 produkter
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Av Venkata Rajesh Pamula, Chris Van Hoof m. fl.
Inbunden, 2019
1096 kr
Lägg i varukorg
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 …
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Av Marian Verhelst, Chris Van Hoof m. fl.
E-bok, 2019
1455 kr
Lägg i varukorg
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 …
Embedded Deep Learning
Algorithms, Architectures and Circuits for Always-on Neural Network Processing
Av Bert Moons, Daniel Bankman m. fl.
Häftad, 2019
987 kr
Lägg i varukorg
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 …
Hardware-Aware Probabilistic Machine Learning Models
Learning, Inference and Use Cases
Av Laura Isabel Galindez Olascoaga, Wannes Meert m. fl.
Inbunden, 2021
878 kr
Lägg i varukorg
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 …
Hardware-Aware Probabilistic Machine Learning Models
Learning, Inference and Use Cases
Av Marian Verhelst, Wannes Meert m. fl.
E-bok, 2021
868 kr
Lägg i varukorg
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 …
Hardware-Aware Probabilistic Machine Learning Models
Learning, Inference and Use Cases
Av Laura Isabel Galindez Olascoaga, Wannes Meert m. fl.
Häftad, 2022
660 kr
Lägg i varukorg
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 …
Efficient Execution of Irregular Dataflow Graphs
Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Av Nimish Shah, Wannes Meert m. fl.
Inbunden, 2023
878 kr
Lägg i varukorg
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 …
Efficient Execution of Irregular Dataflow Graphs
Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Av Marian Verhelst, Wannes Meert m. fl.
E-bok, 2023
877 kr
Lägg i varukorg
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 …
Efficient Execution of Irregular Dataflow Graphs
Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Av Nimish Shah, Wannes Meert m. fl.
Häftad, 2024
660 kr
Lägg i varukorg
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 …
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 …
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 …
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 …
Embedded Deep Learning
Algorithms, Architectures and Circuits for Always-on Neural Network Processing
Av Bert Moons, Daniel Bankman m. fl.
Inbunden, 2018
1423 kr
Lägg i varukorg
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 …
Embedded Deep Learning
Algorithms, Architectures and Circuits for Always-on Neural Network Processing
Av Marian Verhelst, Daniel Bankman m. fl.
E-bok, 2018
1268 kr
Lägg i varukorg
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 …
Energy Scalable Radio Design
for Pulsed UWB Communication and Ranging
Av Marian Verhelst, Wim Dehaene
Inbunden, 2009
1641 kr
Lägg i varukorg
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, …
Energy Scalable Radio Design
for Pulsed UWB Communication and Ranging
Av Wim Dehaene, Marian Verhelst
E-bok, 2009
2119 kr
Lägg i varukorg
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, …
Energy Scalable Radio Design
for Pulsed UWB Communication and Ranging
Av Marian Verhelst, Wim Dehaene
Häftad, 2011
1641 kr
Lägg i varukorg
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, …
