Topics in Parallel and Distributed Computing:

Enhancing the Undergraduate Curriculum:
Performance, Concurrency, and Programming on Modern Platforms^†§

• CHAPTER 1 Editors’ Introduction and Road Map

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

• 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

• 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 Interactive 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. 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.