Skip to main content
SpringerLink
Log in

Building a Lightweight Container-Based Experimental Platform for HPC Education

  • Conference paper
  • First Online:
Parallel Architectures, Algorithms and Programming (PAAP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1163))

Abstract

HPC (High Performance Computing) is of great significance due to its excellent performance in computing acceleration. However, unlike other techniques in computer science, learning HPC requires advanced computing resources such as large-scale clusters which directly increase the cost of study for students. To help students to learn HPC programming easily, we design and develop a lightweight container-based experimental platform to provide students with easily accessible and customizable HPC practice environments. In our platform, we integrate multiple practical functional modules for students, teachers, and administrators respectively. It is convenient for a user to access high-performance computing resources via a web portal, use highly customizable basic environments and have nice graphical hands-on interactive HPC learning experiences from our platform.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Apache guacamole. https://guacamole.apache.org/

  2. Infrastructure as a service. https://en.wikipedia.org/wiki/Infrastructure_as_a_service

  3. Remote desktop protocol. https://en.wikipedia.org/wiki/Remote_Desktop_Protocol

  4. Virtual network computing. https://en.wikipedia.org/wiki/Virtual_Network_Computing

  5. Barrett, D.J., Silverman, R.E., Byrnes, R.G.: SSH, The Secure Shell: The Definitive Guide: The Definitive Guide. O’Reilly Media Inc., Sebastopol (2005)

    Google Scholar 

  6. Basili, V.R., et al.: Understanding the high-performance-computing community: a software engineer’s perspective. IEEE Softw. 25(4), 29 (2008)

    Article  Google Scholar 

  7. Dowd, K., Severance, C.: High performance computing (2010)

    Google Scholar 

  8. Grinberg, M.: Flask Web Development: Developing Web Applications with Python. O’Reilly Media Inc., Sebastopol (2018)

    Google Scholar 

  9. Merkel, D.: Docker: lightweight linux containers for consistent development and deployment. Linux J. 2014(239), 2 (2014)

    Google Scholar 

  10. Mulfari, D., Celesti, A., Villari, M., Puliafito, A.: Using virtualization and guacamole/VNC to provide adaptive user interfaces to disabled people in cloud computing. In: 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, pp. 72–79. IEEE (2013)

    Google Scholar 

  11. Richardson, L., Ruby, S.: RESTful Web Services. O’Reilly Media Inc., Sebastopol (2008)

    Google Scholar 

  12. Soltesz, S., Pötzl, H., Fiuczynski, M.E., Bavier, A., Peterson, L.: Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. In: ACM SIGOPS Operating Systems Review, vol. 41, pp. 275–287. ACM (2007)

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the National Key R&D Program of China under Grant 2018YFB0204100, Guangdong Special Support Program under Grant 2017TX04X148, the Fundamental Research Funds for the Central Universities under Grant 19LGZD37.

Author information

Authors and Affiliations

  1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

    Zelong Wang, Di Wu, Zhenxiao Luo & Yunfei Du

  2. Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China

    Zelong Wang, Di Wu & Zhenxiao Luo

  3. National Supercomputer Center in Guangzhou, Guangzhou, China

    Yunfei Du

Authors
  1. Zelong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Di Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhenxiao Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yunfei Du
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Di Wu .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Hong Shen

  2. Sun Yat-sen University, Guangzhou, China

    Yingpeng Sang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, Z., Wu, D., Luo, Z., Du, Y. (2020). Building a Lightweight Container-Based Experimental Platform for HPC Education. In: Shen, H., Sang, Y. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2019. Communications in Computer and Information Science, vol 1163. Springer, Singapore. https://doi.org/10.1007/978-981-15-2767-8_17

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-2767-8_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2766-1

  • Online ISBN: 978-981-15-2767-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation