Verwandte Artikel zu Task Scheduling for Multi-core and Parallel Architectures:...

Task Scheduling for Multi-core and Parallel Architectures: Challenges, Solutions and Perspectives - Hardcover

 
9789811062377: Task Scheduling for Multi-core and Parallel Architectures: Challenges, Solutions and Perspectives

Inhaltsangabe

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures.

Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Quan Chen is currently an assistant professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), Shanghai, China. Before joining the SJTU, he pursued his post-doctoral research at the University of Michigan’s Department of Computer Science, Ann Arbor, USA from 2014 to 2016. He received his MS degree in 2009 and his PhD degree in 2014, both from the SJTU. During his PhD, he was a research associate at the Department of Computer Science of Columbia University, USA from 2013 to 2014. From 2010 to 2011, he was a visiting scholar at the Department of Computer Science, University of Otago, New Zealand. His research interests include high-performance computing, task scheduling for various architectures, and resource management in datacenters, runtime systems and operating systems. His dissertation was honored with the Shanghai Excellent Doctoral Dissertation Award and the China Computer Federation (CCF) Excellent Doctoral Dissertation Award.

Minyi Guo is a Zhiyuan Chair Professor and head of the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), Shanghai, China. He is also the director of the SJTU’s Embedded and Pervasive Computing Center. He received his BS and ME degrees in Computer Science from Nanjing University, China in 1982 and 1986, respectively. From 1986 to 1994, he served as an assistant professor at the Department of Computer Science, Nanjing University. He received his PhD degree in Information Science from the University of Tsukuba, Japan in 1998. His research interests include parallel and distributed processing, parallelizing compilers, cloud computing, pervasive computing, software engineering, embedded systems, green computing, and wireless sensor networks. He is an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), and Journal of Computer Science and Technology(JCST).

He has published numerous articles in prominent journals, and has authored books with Springer. Further, he has led many research projects including Natural Science Foundation of China (NSFC) projects, 863 projects and 973 projects.  

Von der hinteren Coverseite

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures.

Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

  • VerlagSpringer
  • Erscheinungsdatum2017
  • ISBN 10 9811062374
  • ISBN 13 9789811062377
  • EinbandTapa dura
  • SpracheEnglisch
  • Auflage1
  • Anzahl der Seiten264
  • Kontakt zum HerstellerNicht verfügbar

Gebraucht kaufen

xviii, 243 p. Hardcover. Versand...
Diesen Artikel anzeigen

EUR 3,00 für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

Gratis für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

Weitere beliebte Ausgaben desselben Titels

9789811348358: Task Scheduling for Multi-core and Parallel Architectures: Challenges, Solutions and Perspectives

Vorgestellte Ausgabe

ISBN 10:  9811348359 ISBN 13:  9789811348358
Verlag: Springer, 2018
Softcover

Suchergebnisse für Task Scheduling for Multi-core and Parallel Architectures:...

Beispielbild für diese ISBN

Chen, Q. et al (Eds.)
Verlag: Singapore, Springer., 2017
ISBN 10: 9811062374 ISBN 13: 9789811062377
Gebraucht Hardcover

Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

xviii, 243 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Artikel-Nr. 42446HB

Verkäufer kontaktieren

Gebraucht kaufen

EUR 12,00
Währung umrechnen
Versand: EUR 3,00
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 4 verfügbar

In den Warenkorb

Foto des Verkäufers

Minyi Guo
ISBN 10: 9811062374 ISBN 13: 9789811062377
Neu Hardcover

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. Neuware -This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures.Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. Artikel-Nr. 9789811062377

Verkäufer kontaktieren

Neu kaufen

EUR 139,09
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Minyi Guo
ISBN 10: 9811062374 ISBN 13: 9789811062377
Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field. Artikel-Nr. 9789811062377

Verkäufer kontaktieren

Neu kaufen

EUR 146,98
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chen, Quan; Guo, Minyi
Verlag: Springer, 2017
ISBN 10: 9811062374 ISBN 13: 9789811062377
Neu Hardcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Artikel-Nr. ria9789811062377_new

Verkäufer kontaktieren

Neu kaufen

EUR 144,04
Währung umrechnen
Versand: EUR 5,88
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chen, Quan (Author)/ Guo, Minyi (Author)
Verlag: Springer, 2017
ISBN 10: 9811062374 ISBN 13: 9789811062377
Neu Hardcover

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: Brand New. 243 pages. 9.25x6.25x0.75 inches. In Stock. Artikel-Nr. x-9811062374

Verkäufer kontaktieren

Neu kaufen

EUR 196,94
Währung umrechnen
Versand: EUR 11,81
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb