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In-Memory Computing: Synthesis and Optimization

This book describes a comprehensive approach for synthesis and optimization of logic-in-memory computing hardware and architectures using;

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Introduction to High Performance Computing for Scientists and Engineers

solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for;

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Languages and Compilers for Parallel Computing

analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.;

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Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment

throughput maximization, reliability maximization, and cost minimization. There are also exists a set of system constraints related to memory and;

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Heterogeneous Computing with OpenCL 2.0

. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions;

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Parallel Scientific Computing and Optimization

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel;

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Customizable Computing

cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and;

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Nonlinear and Mixed-Integer Optimization

synthesis in chemical engineering. The reader is acquainted with the basics of convex analysis and nonlinear optimization and is introduced to the;

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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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Computer Aided Design and Design Automation

analysis methods, design by optimization, statistical design optimization, and physical design automation. In the second half of the text, they;

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Non-volatile In-memory Computing by Spintronics

magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented;

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Non-Volatile In-Memory Computing by Spintronics

magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented;

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Modeling, Simulation, and Optimization

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements;

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Intelligent Computing Technology

models, swarm intelligence and optimization, kernel methods and supporting vector machines, nature inspired computing and optimization, systems;

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Modern Optimization with R

and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are;

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Intelligent Computing Theories and Methodologies

optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle;

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Intelligent Computing Theories and Methodologies

optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle;

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High-Throughput Lead Optimization in Drug Discovery

application of parallel synthesis to lead optimization and the design and synthesis of targeted libraries. Examine Case Studies that Cover a Range;

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Synthesis, Design, and Resource Optimization in Batch Chemical Plants

The manner in which time is captured forms the foundation for synthesis, design, and optimization in batch chemical plants. However, there;

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Synthesis, Design, and Resource Optimization in Batch Chemical Plants

The manner in which time is captured forms the foundation for synthesis, design, and optimization in batch chemical plants. However, there;

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Heuristics for Optimization and Learning

This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists;

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Advances in Swarm Intelligence

algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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