Kooperativer Bibliotheksverbund

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Format: XVIII, 258 S. : , Ill., graph. Darst.

ISBN: 978-0-12-381472-2

Note: Includes bibliographical references and index

Language: English

Subjects: Computer Science

Keywords: Parallelprozessor ; Massive Parallelität ; Programmierung

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018882404&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

URL: Inhaltsverzeichnis

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Format: 1 online resource (xvi, 381 pages) : , digital, PDF file(s).

ISBN: 0-511-52974-0

Series Statement: Developmental and cell biology series ; 33

Content: The central thesis of this book is that Volvox and its unicellular and colonial relatives provide a wholly unrivalled opportunity to explore the proximate and ultimate causes underlying the evolution, from unicellular ancestors, of multicellular organisms with fully differentiated cell types. A major portion of the book is devoted to reviewing what is known about the genetic, cellular and molecular basis of development in the most extensively studied species of Volvox: V. cateri, which exhibits a complete division of labour between mortal somatic cells and immortal germ cells. However, this topic has been put in context by first considering the ecological conditions and cytological preconditions that appear to have fostered the evolution of organisms of progressively increasing size and with progressively increasing tendency to produce terminally differentiated somatic cells. The book concludes by raising the question of whether the germensoma dichotomy may have evolved by similar or different genetic pathways in different species of Volvox. Biologists and phycologists interested in development, genetics and cellular evolution will find this a fascinating work.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction -- , The Volvocales: Many Multicellular Innovations -- , Ecological Factors Fostering the Evolution of Volvox -- , Cytological Features Fostering the Evolution of Volvox -- , Volvox carteri: A Rosetta Stone for Deciphering the Origins of Cytodifferentiation -- , Mutational Analysis of the V. carteri Developmental Program -- , Molecular Analysis of V. carteri Genes and Development. , English

Additional Edition: ISBN 0-521-01914-1

Additional Edition: ISBN 0-521-45207-4

Language: English

URL: Volltext

URL: https://doi.org/10.1017/CBO9780511529740

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Format: 148 S.

Edition: 1. publ.

ISBN: 0-7185-0100-4

Language: English

Keywords: Sportunterricht

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Format: XX, 496 S. : , Ill., graph. Darst.

Edition: 2. ed.

ISBN: 978-0-12-415992-1

Language: English

Subjects: Computer Science

Keywords: Parallelprozessor ; Massive Parallelität ; Programmierung

URL: Inhaltsverzeichnis

URL: Inhaltsverzeichnis

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Format: XI, 476 S.

Series Statement: Reaction mechanisms in organic chemistry 7

Note: Literaturverz. S. 439 - 447. - Literaturangaben

Language: English

Subjects: Chemistry/Pharmacy

Keywords: Steroide ; Reaktionsmechanismus ; Steroide ; Steroidchemie ; Steroidchemie ; Steroidchemie

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Format: 1 online resource (519 p.)

Edition: 2nd ed.

ISBN: 0-12-391418-3

Content: Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has been revis

Note: Description based upon print version of record. , Front Cover; Programming Massively Parallel Processors; Copyright Page; Contents; Preface; Target Audience; How to Use the Book; A Three-Phased Approach; Tying It All Together: The Final Project; Project Workshop; Design Document; Project Report; Online Supplements; Acknowledgements; Dedication; 1 Introduction; 1.1 Heterogeneous Parallel Computing; 1.2 Architecture of a Modern GPU; 1.3 Why More Speed or Parallelism?; 1.4 Speeding Up Real Applications; 1.5 Parallel Programming Languages and Models; 1.6 Overarching Goals; 1.7 Organization of the Book; References; 2 History of GPU Computing , 2.1 Evolution of Graphics PipelinesThe Era of Fixed-Function Graphics Pipelines; Evolution of Programmable Real-Time Graphics; Unified Graphics and Computing Processors; 2.2 GPGPU: An Intermediate Step; 2.3 GPU Computing; Scalable GPUs; Recent Developments; Future Trends; References and Further Reading; 3 Introduction to Data Parallelism and CUDA C; 3.1 Data Parallelism; 3.2 CUDA Program Structure; 3.3 A Vector Addition Kernel; 3.4 Device Global Memory and Data Transfer; 3.5 Kernel Functions and Threading; 3.6 Summary; Function Declarations; Kernel Launch; Predefined Variables; Runtime API , 3.7 ExercisesReferences; 4 Data-Parallel Execution Model; 4.1 Cuda Thread Organization; 4.2 Mapping Threads to Multidimensional Data; 4.3 Matrix-Matrix Multiplication-A More Complex Kernel; 4.4 Synchronization and Transparent Scalability; 4.5 Assigning Resources to Blocks; 4.6 Querying Device Properties; 4.7 Thread Scheduling and Latency Tolerance; 4.8 Summary; 4.9 Exercises; 5 CUDA Memories; 5.1 Importance of Memory Access Efficiency; 5.2 CUDA Device Memory Types; 5.3 A Strategy for Reducing Global Memory Traffic; 5.4 A Tiled Matrix-Matrix Multiplication Kernel , 5.5 Memory as a Limiting Factor to Parallelism5.6 Summary; 5.7 Exercises; 6 Performance Considerations; 6.1 Warps and Thread Execution; 6.2 Global Memory Bandwidth; 6.3 Dynamic Partitioning of Execution Resources; 6.4 Instruction Mix and Thread Granularity; 6.5 Summary; 6.6 Exercises; References; 7 Floating-Point Considerations; 7.1 Floating-Point Format; Normalized Representation of M; Excess Encoding of E; 7.2 Representable Numbers; 7.3 Special Bit Patterns and Precision in Ieee Format; 7.4 Arithmetic Accuracy and Rounding; 7.5 Algorithm Considerations; 7.6 Numerical Stability; 7.7 Summary , 7.8 ExercisesReferences; 8 Parallel Patterns: Convolution; 8.1 Background; 8.2 1D Parallel Convolution-A Basic Algorithm; 8.3 Constant Memory and Caching; 8.4 Tiled 1D Convolution with Halo Elements; 8.5 A Simpler Tiled 1D Convolution-General Caching; 8.6 Summary; 8.7 Exercises; 9 Parallel Patterns: Prefix Sum; 9.1 Background; 9.2 A Simple Parallel Scan; 9.3 Work Efficiency Considerations; 9.4 A Work-Efficient Parallel Scan; 9.5 Parallel Scan for Arbitrary-Length Inputs; 9.6 Summary; 9.7 Exercises; Reference; 10 Parallel Patterns: Sparse Matrix-Vector Multiplication; 10.1 Background , 10.2 Parallel SpMV Using CSR , English

Additional Edition: ISBN 0-12-811987-X

Additional Edition: ISBN 0-12-415992-3

Language: English

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Format: 1 online resource (xxviii, 551 pages) : , illustrations

Edition: Fourth edition.

ISBN: 0-323-98463-0 , 0-323-91231-1

Content: Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses.--

Note: Previous edition: published as by David B. Kirk, Wen-mei W. Hwu. Amsterdam: Elsevier, 2017. , Chapter 1. Introduction -- Part I: Fundamental Concepts -- Chapter 2. Heterogeneous data parallel computing -- Chapter 3. Multidimensional grids and data -- Chapter 4. Compute architecture and scheduling -- Chapter 5. Memory architecture and data locality -- Chapter 6. Performance considerations -- Part II: Parallel Patterns -- Chapter 7. Convolution: An introduction to constant memory and caching -- Chapter 8. Stencil -- Chapter 9. Parallel histogram: An introduction to atomic operations and privatization -- Chapter 10. Reduction: And minimizing divergence -- Chapter 11. Prefix sum (scan): An introduction to work efficiency in parallel algorithms -- Chapter 12. Merge: An introduction to dynamic input data identification -- Part III: Advanced Patterns and Applications -- Chapter 13. Sorting -- Chapter 14. Sparse matrix computation -- Chapter 15. Graph traversal -- Chapter 16. Deep learning -- Chapter 17. Iterative magnetic resonance imaging reconstruction -- Chapter 18. Electrostatic potential map -- Chapter 19. Parallel programming and computational thinking -- Chapter 20. Programming a heterogeneous computing cluster: An introduction to CUDA streams -- Chapter 21. CUDA dynamic parallelism -- Chapter 22. Advanced practices and future evolution -- Chapter 23. Conclusion and outlook.

Language: English

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Format: 1 online resource (xxii, 550 p.)

Edition: 3rd ed.

ISBN: 0-12-811986-1

Language: English

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Format: 1 Online-Ressource (VII, 229 Seiten, 79 illus., 62 illus. in color)

ISBN: 9783319708751

Series Statement: Springer series in adaptive environments

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-70874-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-70876-8

Language: English

Subjects: Computer Science

DOI: 10.1007/978-3-319-70875-1

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 online resource (240 pages).

ISBN: 9780190841263 (ebook) :

Series Statement: Oxford scholarship online

Content: This book is about building credible science to address the challenge of criminal recidivism. It does so by drawing upon a unique natural experiment that presented an opportunity to witness an alternate reality. More than 625,000 individuals are released from prison in the United States each year, and roughly half of these individuals will be back in prison within just three years. A likely contributor to the churning of the same individuals in and out of prison is the fact that many released prisoners return home to the same environment with the same criminal opportunities and criminal peers that proved so detrimental to their behaviour prior to incarceration. This study uses Hurricane Katrina as a natural experiment for examining the question of whether residential relocation away from an old neighborhood can lead to desistance from crime.

Additional Edition: Print version : ISBN 9780190841232

Language: English

URL: Oxford scholarship online

URL: lizenzpflichtig