Parallel Computing Hits the Power Wall
Springer International Publishing (Verlag)
978-3-030-28718-4 (ISBN)
This book explains how software developers can apply a novel technique to adapt the number of threads at runtime without any modification in the source code nor recompilation.
This book is useful for software developers in general since it offers realistic examples throughout to demonstrate various techniques presented.
Arthur Francisco Lorenzon received his Dr. degree from Federal University of Rio Grande do Sul (UFRGS), Brazil, in 2018. Currently, he is a professor at Federal University of Pampa (UNIPAMPA), in charge of Parallel Computing, Embedded Systems, and Computer Organization disciplines at the undergraduate and graduate levels. His primary research interests include the parallelism exploitation in multicore systems, evaluation of different parallel programming interfaces, and the design of approaches to automate and optimize the thread-level parallelism exploitation. Antonio Carlos Schneider Beck Filho received his Dr. degree from UFRGS, Brazil, in 2008. Currently, he is a professor at the Applied Informatics Department at the Informatics Institute of UFRGS, in charge of Embedded Systems and Computer Organization disciplines at the undergraduate and graduate levels. His primary research interests include computer architectures and embedded systems design, focusing on power consumption.
1 Run-time Adaptability: The Key for Improving Parallel Applications.- 2 Fundamental Concepts.- 3 The impact of Parallel Programming Interfaces on Energy.- 4 Tuning Parallel Applications.- 5 Case Study: DCT with Aurora.- 6 Conclusions.
Erscheinungsdatum | 16.11.2019 |
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Reihe/Serie | SpringerBriefs in Computer Science |
Zusatzinfo | XIII, 88 p. 32 illus., 14 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 171 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | Dynamic voltage • energy efficiency • multicore systems • Parallel Computing • Thread-level exploitation |
ISBN-10 | 3-030-28718-1 / 3030287181 |
ISBN-13 | 978-3-030-28718-4 / 9783030287184 |
Zustand | Neuware |
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