Multicore Programming Using the ParC Language: Undergraduate Topics in Computer Science
Autor Yosi Ben-Asheren Limba Engleză Paperback – 28 mai 2012
Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Students can also help to cement their learning by completing the great many challenging and exciting exercises which accompany each chapter.
Din seria Undergraduate Topics in Computer Science
- 20% Preț: 376.05 lei
- 20% Preț: 342.45 lei
- 20% Preț: 339.11 lei
- 20% Preț: 227.15 lei
- 20% Preț: 183.40 lei
- 20% Preț: 245.43 lei
- 20% Preț: 306.71 lei
- 20% Preț: 280.92 lei
- 20% Preț: 226.64 lei
- 20% Preț: 276.82 lei
- 20% Preț: 179.87 lei
- 20% Preț: 395.04 lei
- 20% Preț: 250.22 lei
- 20% Preț: 335.08 lei
- 20% Preț: 300.41 lei
- 20% Preț: 305.61 lei
- 20% Preț: 272.43 lei
- 20% Preț: 341.85 lei
- 20% Preț: 375.65 lei
- 20% Preț: 258.78 lei
- 20% Preț: 206.45 lei
- 20% Preț: 307.16 lei
- 20% Preț: 225.02 lei
- 20% Preț: 217.61 lei
- 20% Preț: 272.66 lei
- 20% Preț: 366.84 lei
- 20% Preț: 237.35 lei
- 20% Preț: 374.20 lei
- 20% Preț: 241.37 lei
- 20% Preț: 232.79 lei
- 20% Preț: 454.08 lei
- 20% Preț: 297.28 lei
- 20% Preț: 567.67 lei
- 20% Preț: 292.18 lei
- 20% Preț: 296.71 lei
- 20% Preț: 294.86 lei
- 20% Preț: 191.35 lei
- 20% Preț: 243.35 lei
- 20% Preț: 291.69 lei
- 20% Preț: 278.10 lei
- 20% Preț: 382.10 lei
- 20% Preț: 184.28 lei
- 20% Preț: 298.11 lei
- 20% Preț: 281.40 lei
- 20% Preț: 754.32 lei
- 20% Preț: 348.75 lei
Preț: 298.32 lei
Preț vechi: 372.90 lei
-20% Nou
Puncte Express: 447
Preț estimativ în valută:
57.09€ • 59.30$ • 47.42£
57.09€ • 59.30$ • 47.42£
Carte tipărită la comandă
Livrare economică 01-15 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781447121633
ISBN-10: 1447121635
Pagini: 338
Ilustrații: XIV, 277 p. 67 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.43 kg
Ediția:2012
Editura: SPRINGER LONDON
Colecția Springer
Seria Undergraduate Topics in Computer Science
Locul publicării:London, United Kingdom
ISBN-10: 1447121635
Pagini: 338
Ilustrații: XIV, 277 p. 67 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.43 kg
Ediția:2012
Editura: SPRINGER LONDON
Colecția Springer
Seria Undergraduate Topics in Computer Science
Locul publicării:London, United Kingdom
Public țintă
Lower undergraduateCuprins
Preface.- Basic Concepts in Parallel Algorithms and Parallel Programming.- Principles of Shared Memory Parallel Programming using ParC.- Locality and Synchronization.- Multicore Machines.- Improving the Performance of Parallel Programs: The Analytical Approach.- Compilation Techniques.- Working with Sequential Versions.- Performance and Overhead Measures.
Textul de pe ultima copertă
Multicore Programming Using the ParC Language discusses principles of practical parallel programming using shared memory. It is unique in its approach to writing parallel programs for shared memory machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language, which was co-developed by author Yosi Ben-Asher.
Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. It also provides a basis through which to evaluate parallel programming performance versus overheads and other resource expenditure.
Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Readers can also tackle numerous exciting and challenging exercises at the end of each chapter.
Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. It also provides a basis through which to evaluate parallel programming performance versus overheads and other resource expenditure.
Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Readers can also tackle numerous exciting and challenging exercises at the end of each chapter.
Caracteristici
Provides a unique approach to writing parallel programs for shared memory machines Authored by the co-developer of ParC Numerous challenging and exciting exercises accompany each chapter Defines execution times for parallel programs Includes supplementary material: sn.pub/extras