Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel computing. It is also intended as a reference manual for researchers active in the field of scientific computing. All the algorithms in the book are based on partition operators. These operators provide a unifying principle that fits seemingly disparate techniques into an overall framework for algorithm design. The book uses the co-array programming model to illustrate how to write code for concrete examples, but it emphasizes that the important concepts for algorithm design are independent of the programming model. With these concepts in mind, the reader can write algorithms in different programming models based on personal taste and comfort.
- 210 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Parallel Programming with Co-arrays
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Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- 1 Prologue
- 2 The Co-array Programming Model
- 3 Partition Operators
- 4 Reverse Partition Operators
- 5 Collective Operations
- 6 Performance Modeling
- 7 Partitioned Matrix Classes
- 8 Iterative Solvers for Sparse Matrices
- 9 Blocked Matrices
- 10 The Matrix Transpose Operation
- 11 The Halo Exchange Operation
- 12 Subpartition Operators
- 13 Blocked Linear Algebra
- 14 The Finite Element Method
- 15 Graph Algorithms
- 16 Epilogue
- A A Brief Reference Manual for the Co-array Model
- Bibliography
- Index
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Yes, you can access Parallel Programming with Co-arrays by Robert W. Numrich in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.