Cited By
View all- Wan HGao XLong XJiang B(2017)Introducing parallel computing concepts in computer system related courses2017 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2017.8190566(1-7)Online publication date: Oct-2017
Innovative system and application curriculum on multicore systems
Pages 25 - 31
Abstract
The multicore architectures are increasingly important in system design. Understanding the multicore architecture and multicore programming techniques is essential in system education. Therefore it is necessary to amend traditional content of system education to help students learn and gain experience in software development for multicore devices. In this paper, we present our newly funded education program. In addition, we focus on multi-core technologies. Our focus is also on programming models and how to devise parallel programs, as this is a shared ground between embedded multi-core systems and high-performance parallel systems. Two types of lab modules are developed: multicore system software lab modules and application lab modules. Together the lab modules can give students clear understanding of the principles and practice of parallel programming on multicore systems. Also the parallel design patterns are applied to help students to architect the software in order to develop robust multicore applications. The lab modules of real world applications let students experience the benefits of parallel programming and the computation power of multicore systems. Finally, discussions with design patterns with our two lab modules are given.
References
[1]
Chung-Wen Huang, Wei-Kuan Shih, Yarsun Hsu, and Jenq Kuen Lee. Configurable sid-based multi-core simulators for embedded system education. In Proceedings of the 2009 Workshop on Embedded Systems Education, WESE'09, pages 64--70, 2009.
[2]
Meng-Ting Wang, Po-Chun Huang, Jenq-Kuen Lee, Shang-Hong Lai, Roger Jang, Chun-Fa Chang, Chih-Wei Liu, Tei-Wei Kuo, and Steve Liao. Support of android lab modules for embedded system curriculum. In Proceedings of the 2010 Workshop on Embedded Systems Education, WESE'10, pages 4:1--4:8, 2010.
[3]
Intel® Manycore Testing Lab. http://www.intel.com/software/manycoretestinglab.
[4]
Intel® Threading Building Blocks. http://threadingbuildingblocks.org/.
[5]
OpenMP. http://openmp.org/wp/.
[6]
MPI. http://www.mcs.anl.gov/research/projects/mpi/.
[7]
Herb Sutter. The free lunch is over:a fundamental turn toward concurrency in software. Dr. Dobb's Journal, March, 2005.
[8]
Erich Gamma, Richard Helm, Ralph Johnson, and John M. Vlissides. Design Patterns: Elements of reusable Object Oriented Software. Addison-Wesley, 1994.
[9]
Timothy G. Mattson, Beverly A. Sanders, and Berna L. Massingill. Patterns for Parallel Programming. Addison-Wesley, 2004.
[10]
Kurt Keutzer and Tim Mattson. Our pattern language (pol): A design pattern language for engineering (parallel) software. In ParaPLoP Workshop on Parallel Progamming Patterns., 2009.
Index Terms
- Innovative system and application curriculum on multicore systems
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Reviews
Harry J Foxwell
There is a critical, growing technology gap that pervades all of modern computing-not the well-documented gap between memory speeds and central processing unit (CPU) speeds, but the more important gap between the rapid evolution of multicore processors and developers' abilities to exploit the massive parallelism now at their disposal. The need to increase the focus on parallel thinking and program design in the undergraduate computer science curriculum has been widely discussed for more than 20 years [1]. The rapid advance of multicore technologies, especially in mobile systems (smartphones and tablet computers in particular), demands a comprehensive curriculum that teaches parallel thinking, parallel design patterns and algorithms, and hands-on experience writing real-world multicore programs. In this paper, the authors describe a comprehensive multicore programming curriculum at universities in Taiwan. Their three-year education program, supported in part by Intel's Manycore Testing Lab, focuses on embedded multicore systems with an emphasis on the Android operating system. It covers multicore architectures, from both parallelism and power efficiency viewpoints, parallel programming concepts, design patterns, and the use of Intel parallel programming tools such as Threading Building Blocks. Extensive real-world examples are exploited, including simulations, mobile networks, and genome sequencing. Students are required to discover parallelism opportunities in sequential programs and learn how to debug and optimize parallel code. The paper describes an interesting approach to teaching parallel programming. However, it requires careful reading since the authors' first language is clearly not English. Unfortunately, the authors do not report any effectiveness metrics for this education program-such metrics would be valuable to those considering similar curricula. Online Computing Reviews Service
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October 2011
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Published: 13 October 2011
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- Intel Corporation
- Embedded Software consortium, Ministry of Education, Taiwan
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View all- Wan HGao XLong XJiang B(2017)Introducing parallel computing concepts in computer system related courses2017 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2017.8190566(1-7)Online publication date: Oct-2017
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