Programming Massively Parallel Processors (ePub)

Name: Programming Massively Parallel Processors
Brand: Elsevier Science & Techn.
SKU: 144072104
Price: 63.80 EUR
Availability: OnlineOnly

A Hands-on Approach (Sprache: Englisch)

Autoren: Wen-mei W. Hwu , David B. Kirk , Izzat El Hajj

Schreiben Sie einen Kommentar zu "Programming Massively Parallel Processors".

Programming Massively Parallel Processors, Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj

Merken

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...

Mehr zum Inhalt Autorenporträt Video

sofort als Download lieferbar

Bestellnummer: 144072104

eBook (ePub) 63.80 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails
Download-DRM Infos

Produktinformationen zu „Programming Massively Parallel Processors (ePub)“

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.

Parallel Patterns Introduces new chapters on frequently used parallel patterns (stencil, reduction, sorting) and major improvements to previous chapters (convolution, histogram, sparse matrices, graph traversal, deep learning)
Ampere Includes a new chapter focused on GPU architecture and draws examples from recent architecture generations, including Ampere
Systematic Approach Incorporates major improvements to abstract discussions of problem decomposition strategies and performance considerations, with a new optimization checklist

Autoren-Porträt von Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj

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 (www.impact.crhc.illinois.edu). 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.

eBook Hilfe

Informationen und Hilfe zu eBooks hier klicken!

Bibliographische Angaben

Autoren: Wen-mei W. Hwu , David B. Kirk , Izzat El Hajj
2022, 4. Auflage, 580 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0323984630
ISBN-13: 9780323984638
Erscheinungsdatum: 28.05.2022

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: ePub
Größe: 24 MB
Mit Kopierschutz
Vorlesefunktion

Sprache:

Englisch

Kopierschutz

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.

Kommentar zu "Programming Massively Parallel Processors"

Schreiben Sie einen Kommentar zu "Programming Massively Parallel Processors".