Chapter: Introduction to Data Parallelism and CUDA C

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Home > Programming Massively Parallel Processors (Second Edition) > Introduction to Data Parallelism and CUDA C

Programming Massively Parallel Processors (Second Edition) |

David Kirk and Wen-mei W. Hwu

Morgan Kaufmann

Programming Massively Parallel Processors (Second Edition)

Introduction to Data Parallelism and CUDA C

Chapter Info

Authors

David B. Kirk; Wen-mei W. Hwu

ARI Id

1665466607294_16905556

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Open/Free Access

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Chapters/Headings	Author(s)	Pages	Info
Introduction	David B. Kirk; Wen-mei W. Hwu
History of GPU Computing	David B. Kirk; Wen-mei W. Hwu
Introduction to Data Parallelism and CUDA C	David B. Kirk; Wen-mei W. Hwu
Data-Parallel Execution Model	David B. Kirk; Wen-mei W. Hwu
CUDA Memories	David B. Kirk; Wen-mei W. Hwu
Performance Considerations	David B. Kirk; Wen-mei W. Hwu
Floating-Point Considerations	David B. Kirk; Wen-mei W. Hwu
Parallel Patterns: Convolution	David B. Kirk; Wen-mei W. Hwu
Parallel Patterns: Prefix Sum	David B. Kirk; Wen-mei W. Hwu
Parallel Patterns: Sparse Matrix–Vector Multiplication	David B. Kirk; Wen-mei W. Hwu
Application Case Study	David B. Kirk; Wen-mei W. Hwu
Application Case Study	John Stone
Parallel Programming and Computational Thinking	David B. Kirk; Wen-mei W. Hwu
Parallel Programming with OpenACC	Yuan Lin; Vinod Grover
Thrust	Nathan Bell; Jared Hoberock; Chris Rodrigues
CUDA FORTRAN	Greg Ruetsch; Massimiliano Fatica
An Introduction to C++ AMP	David Callahan
Programming a Heterogeneous Computing Cluster	Isaac Gelado; Javier Cabezas
CUDA Dynamic Parallelism	David B. Kirk; Wen-mei W. Hwu
Conclusion and Future Outlook	David B. Kirk; Wen-mei W. Hwu
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