Programming Massively Parallel Processors

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

97,35 €

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Kategorien:

Beschreibung

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.

Über den Autor

Wen-mei W. Hwu is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. His research interests are in the area of architecture, implementation, compilation, and algorithms for parallel computing. He is the chief scientist of Parallel Computing Institute and director of the IMPACT research group ([...] He is a co-founder and CTO of MulticoreWare. For his contributions in research and teaching, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. He directs the UIUC CUDA Center of Excellence and serves as one of the principal investigators of the NSF Blue Waters Petascale computer project. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley.

Inhaltsverzeichnis

1 Introduction
Part I Fundamental Concepts
2 Heterogeneous data parallel computing
3 Multidimensional grids and data
4 Compute architecture and scheduling
5 Memory architecture and data locality
6 Performance considerations
Part II Parallel Patterns
7 Convolution: An introduction to constant memory and caching
8 Stencil
9 Parallel histogram
10 Reduction And minimizing divergence
11 Prefix sum (scan)
12 Merge: An introduction to dynamic input data identification
Part III Advanced patterns and applications
13 Sorting
14 Sparse matrix computation
15 Graph traversal
16 Deep learning
17 Iterative magnetic resonance imaging reconstruction
18 Electrostatic potential map
19 Parallel programming and computational thinking
Part IV Advanced Practices
20 Programming a heterogeneous computing cluster: An introduction to CUDA streams
21 CUDA dynamic parallelism
22 Advanced practices and future evolution
23 Conclusion and outlook
Appendix A: Numerical considerations

Details

Erscheinungsjahr:	2022
Fachbereich:	Programmiersprachen
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9780323912310
ISBN-10:	0323912311
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Hwu, Wen-Mei W Kirk, David B El Hajj, Izzat
Auflage:	4th edition
Hersteller:	Elsevier Science
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	233 x 187 x 21 mm
Von/Mit:	Wen-Mei W Hwu (u. a.)
Erscheinungsdatum:	04.08.2022
Gewicht:	0,916 kg