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Parallel computation computers for artificial intelligence 1st Edition by Janusz Kowalik ISBN 0898382270 9780898382273

Name: Parallel computation computers for artificial intelligence 1st Edition by Janusz Kowalik ISBN 0898382270 9780898382273
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Authors:Parallel Computation Computers for Artificial Intelligence-Springer (1987) , Author sort:Intelligence-Springer, Parallel Computation Computers for Artificial

SKU: EB-19502 Category: eBook DJVU Tags: Artificial intelligence, Janusz Kowalik, Parallel computation

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ISBN 10: 0898382270
ISBN 13: 9780898382273
Author: Janusz Kowalik

It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.

Parallel computation computers for artificial intelligence 1st Edition Table of contents:

Part I: Introduction to Parallel Computation

Introduction to Parallel Computing
- Overview of Parallelism in Computation
- Historical Development and Evolution of Parallel Systems
- Benefits and Challenges of Parallel Computing
- Role of Parallelism in Artificial Intelligence
Parallel Computer Architectures
- Basic Concepts of Parallel Hardware
- Shared Memory vs. Distributed Memory Architectures
- SIMD and MIMD Architectures
- Supercomputers, Clusters, and GPUs in AI
Parallelism in Artificial Intelligence
- Parallelization of AI Algorithms
- Speedup and Scalability of AI Systems
- Case Studies of AI Applications Leveraging Parallelism

Part II: Algorithms and Techniques for Parallel AI

Parallel Search Algorithms
- Parallelization of Search Algorithms (e.g., Depth-First, Breadth-First Search)
- Parallel A* Search and Other Heuristic Search Methods
- Load Balancing in Parallel Search
- Real-Time Search for AI Systems
Parallel Machine Learning
- Parallelizing Training Algorithms (e.g., Neural Networks, Support Vector Machines)
- Parallelization of Decision Trees and Random Forests
- Distributed Learning and Data Parallelism
- Deep Learning with GPUs and Distributed Networks
Parallel Problem Solving and Optimization
- Parallel Approaches to Optimization Algorithms (e.g., Genetic Algorithms, Simulated Annealing)
- Parallel Constraint Satisfaction Problems
- Parallel Planning Algorithms for AI Systems
Parallel Natural Language Processing
- Parallelizing NLP Tasks (e.g., Tokenization, Parsing, Machine Translation)
- Distributed Systems for Large-Scale NLP Applications
- Parallel Text Mining and Information Retrieval

Part III: Practical Aspects of Parallel AI Systems

Designing Parallel AI Systems
- Key Considerations in Parallel AI Design
- Architecting Scalable AI Solutions
- Fault Tolerance and Reliability in Parallel Systems
- Debugging and Profiling Parallel AI Systems
Parallelism in AI on Modern Hardware
- Using Multi-core Processors for Parallel AI
- Parallel AI Development on GPUs and CUDA
- Cloud Computing and Distributed AI Systems
- FPGA and Special-Purpose Hardware for AI
Performance Metrics and Optimization
- Measuring the Performance of Parallel AI Systems
- Speedup, Efficiency, and Scalability Metrics
- Optimizing Parallel Algorithms for AI Applications
- Profiling and Tuning Parallel AI Code

Part IV: Advanced Topics and Emerging Trends

Parallel Evolutionary Algorithms
- Parallel Genetic Algorithms for AI
- Evolutionary Strategies and Distributed Genetic Programming
- Parallelization of Swarm Intelligence Algorithms
Parallel AI for Big Data and Real-Time Systems
- AI Algorithms for Big Data on Parallel Systems
- Real-Time AI Systems Using Parallelism
- Handling Streaming Data and Continuous Learning
Future Directions in Parallel AI
- Quantum Computing for Artificial Intelligence
- AI and Parallel Computing in Edge and IoT Devices
- The Role of Parallelism in Autonomous Systems and Robotics

Conclusion

Concluding Remarks on Parallel AI
- Summary of Key Concepts in Parallel AI
- The State of the Art in Parallel Computation for AI
- Future Challenges and Opportunities for Parallel AI

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Parallel computation computers for artificial intelligence 1st Edition by Janusz Kowalik ISBN 0898382270 9780898382273

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