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  1. Proceedings of the Workshop on Education for High-Performance Computing (EduHPC '14)
  2. Teaching parallel programming using Java
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Using the pilot library to teach message-passing programming
Title Page iii
HPC/PDC immunization in the introductory computer science sequence
Copyright Page
PDC education in the BGU ECE department
Message from the Workshop Chair
Development of a computational and data-enabled science and engineering Ph.D. program
Trusted high-performance computing in the classroom
Teaching high performance computing: lessons from a flipped classroom, project-based course on finite element methods
Teaching parallelism without programming: a data science curriculum for non-CS students
The blue waters student internship program: promoting competence and confidence for next generation researchers in high-performance computing
Teaching parallel programming using Java
Author Index

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Teaching parallel programming using Java

Content Provider ACM Digital Library
Author Shafi, Aamir Carpenter, Bryan Akhtar, Aleem Javed, Ansar
Abstract 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).
Starting Page 56
Ending Page 63
Page Count 8
File Format PDF
ISBN 9781479970216
DOI 10.1109/EduHPC.2014.7
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-16
Access Restriction Subscribed
Subject Keyword Parallel programming education Mpj express Java mpi
Content Type Text
Resource Type Article
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