Articoli correlati a Introduction to Parallel Computing: A practical guide...
In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines.
Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.
Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore:
Peter Arbenz is at Institute for Scientific Computing, Department Informatik, Ethz, Switzerland. Wesley Petersen is at Seminar for Applied Mathematics, Department of Mathematics, Ethz, Switzerland.
Contenuti:
- 1: Basic issues
- 2: Applications
- 3: SIMD, Single Instruction Multiple Data
- 4: Shared Memory Parallelism
- 5: MIMD, Multiple Instruction Multiple Data
- A: SSE Intrinsics for Floating Point
- B: AltiVec Intrinsics for Floating Point
- C: OpenMP commands
- D: Summary of MPI commands
- E: Fortran and C communication
- F: Glossary of terms
- G: Notation and symbols
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreOUP Oxford
- Data di pubblicazione2004
- ISBN 10 0198515766
- ISBN 13 9780198515760
- RilegaturaCopertina rigida
- Numero di pagine278
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ISBN 13: 9780198515760
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Descrizione libro Hardcover. Condizione: new. Hardcover. In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from ahardware instruction level, to shared memory machines, and finally to distributed memory machines.Aimed at advanced undergraduate and graduate students in applied mathematics,computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers. A practical student guide to scientific computing on parallel computers, based on the authors' lectures at ETH Zurich. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, the subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780198515760
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Introduction to Parallel Computing (Hardcover)
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Oxford University Press, Oxford
(2004)
ISBN 10: 0198515766
ISBN 13: 9780198515760
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Descrizione libro Hardcover. Condizione: new. Hardcover. In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from ahardware instruction level, to shared memory machines, and finally to distributed memory machines.Aimed at advanced undergraduate and graduate students in applied mathematics,computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers. A practical student guide to scientific computing on parallel computers, based on the authors' lectures at ETH Zurich. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, the subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780198515760
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