• CHAPTER 1 Editors’ Introduction and Road Map

    Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C Weems

For Instructors

• CHAPTER 2 What do we need to know about parallel algorithms and their efficient implementation?

    Vladimir Voevodin, Alexander Antonov and Vadim Voevodin

• CHAPTER 3 Models for Teaching Parallel Performance Concepts

    Apan Qasem

• CHAPTER 4 Scalability in Parallel Processing

    Yanik Ngoko and Denis Trystram

• CHAPTER 5 Energy Efficiency Issues in Computing Systems

    Krishna Kant

• CHAPTER 6 Scheduling for fault-tolerance: an introduction

    Guillaume Aupy and Yves Robert

  For Students

• CHAPTER 7 MapReduce - The Scalable Distributed Data Processing Solution

    Bushra Anjun

• CHAPTER 8 The Realm of Graphica Processing Unit (GPU) Computation

    Vivek K. Pallipuram and Jinzhu Gao

• CHAPTER 9 Managing Concurrency in Mobile User Interfaces with Examples in Android

    Konstantin Läufer and George K. Thiruvathukal

• CHAPTER 10 Parallel Programming for Interagive GUI Applications

    Nasser Giacaman and Oliver Sinnen

• CHAPTER 11 Scheduling in Parallel and Distributed Computing Systems

     Srishti Srivastava and Ioana Banicescu

† This material is based upon work partially supported by the National Science Foundation under Grants IIS 1143533, CCF 1135124, CCF 1048711 and CNS 0950432. A Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

§ How to cite this book:

Prasad, Gupta, Rosenberg, Sussman, and Weems. Topics in Parallel and Distributed Computing: Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms, Springer International Publishing, 2018, ISBN : 978-3-319-93108-1, Pages: 337.

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