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This book describes a variety of test generation algorithms for
testing crosstalk delay faults in VLSI circuits. It introduces
readers to the various crosstalk effects and describes both
deterministic and simulation-based methods for testing crosstalk
delay faults. The book begins with a focus on currently available
crosstalk delay models, test generation algorithms for delay faults
and crosstalk delay faults, before moving on to deterministic
algorithms and simulation-based algorithms used to test crosstalk
delay faults. Given its depth of coverage, the book will be of
interest to design engineers and researchers in the field of VLSI
Testing.
This book describes how evolutionary algorithms (EA), including
genetic algorithms (GA) and particle swarm optimization (PSO) can
be utilized for solving multi-objective optimization problems in
the area of embedded and VLSI system design. Many complex
engineering optimization problems can be modelled as
multi-objective formulations. This book provides an introduction to
multi-objective optimization using meta-heuristic algorithms, GA
and PSO and how they can be applied to problems like
hardware/software partitioning in embedded systems, circuit
partitioning in VLSI, design of operational amplifiers in analog
VLSI, design space exploration in high-level synthesis, delay fault
testing in VLSI testing and scheduling in heterogeneous distributed
systems. It is shown how, in each case, the various aspects of the
EA, namely its representation and operators like crossover,
mutation, etc, can be separately formulated to solve these
problems. This book is intended for design engineers and
researchers in the field of VLSI and embedded system design. The
book introduces the multi-objective GA and PSO in a simple and
easily understandable way that will appeal to introductory readers.
This book describes how evolutionary algorithms (EA), including
genetic algorithms (GA) and particle swarm optimization (PSO) can
be utilized for solving multi-objective optimization problems in
the area of embedded and VLSI system design. Many complex
engineering optimization problems can be modelled as
multi-objective formulations. This book provides an introduction to
multi-objective optimization using meta-heuristic algorithms, GA
and PSO and how they can be applied to problems like
hardware/software partitioning in embedded systems, circuit
partitioning in VLSI, design of operational amplifiers in analog
VLSI, design space exploration in high-level synthesis, delay fault
testing in VLSI testing and scheduling in heterogeneous distributed
systems. It is shown how, in each case, the various aspects of the
EA, namely its representation and operators like crossover,
mutation, etc, can be separately formulated to solve these
problems. This book is intended for design engineers and
researchers in the field of VLSI and embedded system design. The
book introduces the multi-objective GA and PSO in a simple and
easily understandable way that will appeal to introductory readers.
This book describes a variety of test generation algorithms for
testing crosstalk delay faults in VLSI circuits. It introduces
readers to the various crosstalk effects and describes both
deterministic and simulation-based methods for testing crosstalk
delay faults. The book begins with a focus on currently available
crosstalk delay models, test generation algorithms for delay faults
and crosstalk delay faults, before moving on to deterministic
algorithms and simulation-based algorithms used to test crosstalk
delay faults. Given its depth of coverage, the book will be of
interest to design engineers and researchers in the field of VLSI
Testing.
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