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Sourcebook of Parallel Computing
출판사 : Elsevier
저 자 : Dongarra
ISBN : 9781558608719
발행일 : 2002-11-25
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 842
판매가격 : 47,000원
판매여부 : 재고확인요망
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   Sourcebook of Parallel Computing 목차
Preface
Pt. I Parallelism 1
Ch. 1 Introduction 3
Ch. 2 Parallel Computer Architectures 15
Ch. 3 Parallel Programming Considerations 43
Pt. II Applications 72
Ch. 4 General Application Issues 75
Ch. 5 Parallel Computing in Computational Fluid Dynamics 93
Ch. 6 Parallel Computing in Environment and Energy 145
Ch. 7 Parallel Computational Chemistry: An Overview of NWChem 167
Ch. 8 Application Overviews 195
Pt. III Software Technologies 291
Ch. 9 Software Technologies 293
Ch. 10 Message Passing and Threads 313
Ch. 11 Parallel I/O 331
Ch. 12 Languages and Compilers 357
Ch. 13 Parallel Object-Oriented Libraries 383
Ch. 14 Problem-Solving Environments 409
Ch. 15 Tools for Performance Tuning and Debugging 443
Ch. 16 The 2-D Poisson Problem 469
Pt. IV Enabling Technologies and Algorithms 481
Ch. 17 Reusable Software and Algorithms 483
Ch. 18 Graph Partitioning for High-Performance Scientific Simulations 491
Ch. 19 Mesh Generation 543
Ch. 20 Templates and Numerical Linear Algebra 575
Ch. 21 Software for the Scalable Solution of Partial Differential Equations 621
Ch. 22 Parallel Continuous Optimization 649
Ch. 23 Path Following in Scientific Computing and its Implementation in Auto 671
Ch. 24 Automatic Differentiation 701
Pt. V Conclusion 720
Ch. 25 Wrap-Up and Signposts to the Future 723
References 729
Index 791
About the Authors 833
   도서 상세설명   

Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands of the application developer.

This book represents the collected knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades
application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades

* Provides a solid background in parallel computing technologies
* Examines the technologies available and teaches students and practitioners how to select and apply them
* Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation
* Considers the future development of parallel computing technologies and the kinds of applications they will support


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