Teaching parallel programming using Java

This paper presents an overview of the "Applied Parallel Computing" course taught to final year Software Engineering undergraduate students in Spring 2014 at NUST, Pakistan. The main objective of the course was to introduce practical parallel programming tools and techniques for shared and...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2014 Workshop on Education for High Performance Computing s. 56 - 63
Hlavní autoři: Shafi, Aamir, Akhtar, Aleem, Javed, Ansar, Carpenter, Bryan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Piscataway, NJ, USA IEEE Press 16.11.2014
IEEE
Edice:ACM Conferences
Témata:
Games
Instruction sets
Java
Laplace equations
Parallel processing
Parallel programming
Parallel Programming Education; MPJ Express; Java MPI
Java MPI
MPJ express
parallel programming education
ISBN:9781479970216, 1479970212
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper presents an overview of the "Applied Parallel Computing" course taught to final year Software Engineering undergraduate students in Spring 2014 at NUST, Pakistan. The main objective of the course was to introduce practical parallel programming tools and techniques for shared and distributed memory concurrent systems. A unique aspect of the course was that Java was used as the principle programming language. The course was divided into three sections. The first section covered parallel programming techniques for shared memory systems including multicore and Symmetric Multi-Processor (SMP) systems. In this section, Java threads API was taught as a viable programming model for such systems. The second section was dedicated to parallel programming tools meant for distributed memory systems including clusters and network of computers. We used MPJ Express---a Java MPI library---for conducting programming assignments and lab work for this section. The third and the final section introduced advanced topics including the MapReduce programming model using Hadoop and the General Purpose Computing on Graphics Processing Units (GPGPU).
ISBN:9781479970216
1479970212
DOI:10.1109/EduHPC.2014.7