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Topics in Parallel and Distributed Computing, 2018
- Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C. Weems:
Topics in Parallel and Distributed Computing, Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms. Springer 2018, ISBN 978-3-319-93108-1 - Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C. Weems:
Editors' Introduction and Roadmap. 1-20
For Instructors
- Vladimir V. Voevodin
, Alexander S. Antonov, Vadim V. Voevodin:
What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation? 23-58 - Apan Qasem:
Modules for Teaching Parallel Performance Concepts. 59-77 - Yanik Ngoko, Denis Trystram:
Scalability in Parallel Processing. 79-109 - Krishna Kant:
Energy Efficiency Issues in Computing Systems. 111-141 - Guillaume Aupy, Yves Robert:
Scheduling for Fault-Tolerance: An Introduction. 143-170
For Students
- Bushra Anjum:
MapReduce - The Scalable Distributed Data Processing Solution. 173-190 - Vivek K. Pallipuram, Jinzhu Gao:
The Realm of Graphical Processing Unit (GPU) Computing. 191-241 - Konstantin Läufer
, George K. Thiruvathukal:
Managing Concurrency in Mobile User Interfaces with Examples in Android. 243-285 - Nasser Giacaman, Oliver Sinnen:
Parallel Programming for Interactive GUI Applications. 287-312 - Srishti Srivastava, Ioana Banicescu:
Scheduling in Parallel and Distributed Computing Systems. 313-337

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