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

Topics in Parallel and Distributed Computing


Introducing Concurrency in Undergraduate Courses
Herausgegeben von Prasad, Sushil K; Gupta, Anshul; Rosenberg, Arnold L; Sussman, Alan; Weems, Charles C
2015. 360 S. 235 mm
Verlag/Jahr: MORGAN KAUFMANN 2015
ISBN: 0-12-803899-3 (0128038993)
Neue ISBN: 978-0-12-803899-4 (9780128038994)

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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

Parallelism in Python

Hands-On Parallelism Using Scratch

Networks and MPI for Cluster Computing

PDC Concepts in Digital Logic

Modules for threads

Parallelism and Concurrency for Data Structures
"Providing practical assistance for adding parallel programming at an early stage to undergraduate students in computer science is the aim of this book." --Computing Reviews