Parámetros
- 496 páginas
- 18 horas de lectura
Más información sobre el libro
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Inhaltsverzeichnis 1. Why parallel computing 2. Parallel hardware and parallel software 3. Distributed memory programming with MPI 4. Shared-memory programming with Pthreads 5. Shared-memory programming with OpenMP 6. GPU programming with CUDA 7. Parallel program development 8. Where to go from here
Compra de libros
An Introduction to Parallel Programming - Second Edition, Peter S. Pacheco, Matthew Malensek
- Idioma
- Publicado en
- 2022
- Encuadernación
- (Tapa blanda),
- Estado del libro
- Dañado
- Precio
- 45,53 €
Métodos de pago
Nadie lo ha calificado todavía.
- Título
- An Introduction to Parallel Programming - Second Edition
- Idioma
- Inglés
- Autores
- Peter S. Pacheco, Matthew Malensek
- Editorial
- Elsevier Science & Technology
- Publicado en
- 2022
- Formato
- Tapa blanda
- Páginas
- 496
- ISBN10
- 0128046058
- ISBN13
- 9780128046050
- Serie
- Categorías
- Etiquetas
- Software, Desarrollo de Software, Algoritmos, Hardware, Cajas de Sorpresa
- Descripción
- An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Inhaltsverzeichnis 1. Why parallel computing 2. Parallel hardware and parallel software 3. Distributed memory programming with MPI 4. Shared-memory programming with Pthreads 5. Shared-memory programming with OpenMP 6. GPU programming with CUDA 7. Parallel program development 8. Where to go from here