Topics in Parallel and Distributed Computing:

Introducing Concurrency in Undergraduate Courses^†§

• CHAPTER 1 Editors’ Introduction and Road Map

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

• CHAPTER 2 Hands-on Parallelism with no Prerequisites and Little Time Using Scratch

     Steven Bogaerts, DePauw University

• CHAPTER 3 Parallelism in Python for Novices

     Steven Bogaerts, DePauw University, and Joshua Stough, Washington & Lee University

• CHAPTER 4 Modules for Introducing Threads

    David P. Bunde, Knox College

• CHAPTER 5 Introducing Parallel and Distributed Computing Concepts in Digital Logic

    Ramachandran Vaidyanathan, Jerry L. Trahan, Suresh Rai, Louisiana State University

• CHAPTER 6 Networks and MPI for Cluster Computing

    Ryan E. Grant, Stephen L. Olivier, Sandia National Laboratories

• CHAPTER 7 Fork-join Parallelism with a Data-Structures Focus

     Dan Grossman, University of Washington

• CHAPTER 8 Shared-Memory Concurrency Control with a Data-Structures Focus

     Dan Grossman, University of Washington

• CHAPTER 9 Parallel Computing in a Python-Based Computer Science Course

     Thomas H. Cormen, Dartmouth College

• CHAPTER 10 Parallel Programming Illustrated through Conway’s Game of Life
   Victor Eijkhout, The University of Texas, Austin

† 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: Introducing Concurrency in Undergraduate Courses, 1st Edition, Morgan Kaufmann, ISBN : 9780128038994, Pages: 360.