Topics in parallel and distributed computing : introducing concurrency in undergraduate courses

✍ Scribed by Gupta, Anshul; Prasad, Sushil K.; Rosenberg, Arnold L.; Sussman, Alan; Weems, Chip

• Publisher: Elsevier , Morgan Kaufmann
• Year: 2015
• Tongue: English
• Leaves: 337
• Edition: 1
• Category: Library

✦ Synopsis

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline.

The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology.

However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists.

This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula.

• Contributed and developed by the leading minds in parallel computing research and instruction
• Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline
• Succinctly addresses a range of parallel and distributed computing topics
• Pedagogically designed to ensure understanding by experienced engineers and newcomers
• Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts

✦ Table of Contents

Content:
Front Matter,Copyright,Contributors,Editor and author biographical sketches,Symbol or phraseEntitled to full textChapter 1 - Editors’ introduction and road map, Pages 1-7, 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, Pages 11-24, Steven Bogaerts
Chapter 3 - Parallelism in Python for novices, Pages 25-58, Steven Bogaerts, Joshua Stough
Chapter 4 - Modules for introducing threads, Pages 59-82, David P. Bunde
Chapter 5 - Introducing parallel and distributed computing concepts in digital logic, Pages 83-116, Ramachandran Vaidyanathan, Jerry L. Trahan, Suresh Rai
Chapter 6 - Networks and MPI for cluster computing, Pages 117-153, Ryan E. Grant, Stephen L. Olivier
Chapter 7 - Fork-join parallelism with a data-structures focus, Pages 157-211, Dan Grossman
Chapter 8 - Shared-memory concurrency control with a data-structures focus, Pages 213-259, Dan Grossman
Chapter 9 - Parallel computing in a Python-based computer science course, Pages 261-297, Thomas H. Cormen
Chapter 10 - Parallel programming illustrated through Conway’s Game of Life, Pages 299-321, Victor Eijkhout
Appendix A - Chapters and topics, Pages 323-327, Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C. Weems
Index, Pages 329-335