Analysis of users' first contact with High-Performance Computing: First approach with ethology researchers

Bence Ferdinandy, Angel Manuel Guerrero-Higueras, Eva Verderber, Adám Miklósi, Vicente Matellán

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Machine Learning and Deep Learning algorithms have become a great revolution in many research fields such as Robotics and Artificial Intelligence. They have applications in such different areas as Meteorology, Cybersecurity, Biology, etc.; though their use in these areas is not so extended. High-performance Computing (HPC) is the most powerful solution to get the best results by using these algorithms. HPC requires various skills to use, such as parallel programming and shell scripting on linux system which may require a long time to acquire and might be intimidating for research with small or no background in Information and Communications Technology (ICT) such as meteorologists or biologists. This work intends to encourage the use of HPC techniques among non-ICT researchers. In order to do so, we plan to analyze the response of such researchers when they are presented some new techniques and possibilities. A set of experiments are being carried out with a group of ethology researchers at Eötvös Loránd University. We will use a three-step methodology. First, researchers will fill out a questionnaire about their knowledge about and attitude towards HPC techniques. Then, they will attend an introductory talk about HPC in general and some specific use cases which may aid them in their research, after which they will receive a follow up questionnaire. After this a subset of the attendees will receive hands-on training in the use of specific HPC applications. Finally, a last round of questionnaires will be carried out with the participants. We expect to identify some key indicators which allow us to identify the main advantages and drawbacks that non-ICT researchers face when discovering High-performance Computing.

Original languageEnglish
Title of host publicationProceedings - TEEM 2019
Subtitle of host publication7th International Conference on Technological Ecosystems for Enhancing Multiculturality
EditorsMiguel Angel Conde-Gonzalez, Francisco Jesus Rodriguez-Sedano, Camino Fernandez-Llamas, Francisco Jose Garcia-Penalvo
PublisherAssociation for Computing Machinery
Pages554-557
Number of pages4
ISBN (Electronic)9781450371919
DOIs
Publication statusPublished - Oct 16 2019
Event7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2019 - Leon, Spain
Duration: Oct 16 2019Oct 18 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2019
CountrySpain
CityLeon
Period10/16/1910/18/19

Fingerprint

Communication
Meteorology
Parallel programming
Learning algorithms
Artificial intelligence
Learning systems
Robotics
Experiments
Deep learning
Linux

Keywords

  • Deep learning
  • Ethology
  • HPC
  • ICT

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Ferdinandy, B., Guerrero-Higueras, A. M., Verderber, E., Miklósi, A., & Matellán, V. (2019). Analysis of users' first contact with High-Performance Computing: First approach with ethology researchers. In M. A. Conde-Gonzalez, F. J. Rodriguez-Sedano, C. Fernandez-Llamas, & F. J. Garcia-Penalvo (Eds.), Proceedings - TEEM 2019: 7th International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 554-557). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3362789.3362873

Analysis of users' first contact with High-Performance Computing : First approach with ethology researchers. / Ferdinandy, Bence; Guerrero-Higueras, Angel Manuel; Verderber, Eva; Miklósi, Adám; Matellán, Vicente.

Proceedings - TEEM 2019: 7th International Conference on Technological Ecosystems for Enhancing Multiculturality. ed. / Miguel Angel Conde-Gonzalez; Francisco Jesus Rodriguez-Sedano; Camino Fernandez-Llamas; Francisco Jose Garcia-Penalvo. Association for Computing Machinery, 2019. p. 554-557 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ferdinandy, B, Guerrero-Higueras, AM, Verderber, E, Miklósi, A & Matellán, V 2019, Analysis of users' first contact with High-Performance Computing: First approach with ethology researchers. in MA Conde-Gonzalez, FJ Rodriguez-Sedano, C Fernandez-Llamas & FJ Garcia-Penalvo (eds), Proceedings - TEEM 2019: 7th International Conference on Technological Ecosystems for Enhancing Multiculturality. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 554-557, 7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2019, Leon, Spain, 10/16/19. https://doi.org/10.1145/3362789.3362873
Ferdinandy B, Guerrero-Higueras AM, Verderber E, Miklósi A, Matellán V. Analysis of users' first contact with High-Performance Computing: First approach with ethology researchers. In Conde-Gonzalez MA, Rodriguez-Sedano FJ, Fernandez-Llamas C, Garcia-Penalvo FJ, editors, Proceedings - TEEM 2019: 7th International Conference on Technological Ecosystems for Enhancing Multiculturality. Association for Computing Machinery. 2019. p. 554-557. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3362789.3362873
Ferdinandy, Bence ; Guerrero-Higueras, Angel Manuel ; Verderber, Eva ; Miklósi, Adám ; Matellán, Vicente. / Analysis of users' first contact with High-Performance Computing : First approach with ethology researchers. Proceedings - TEEM 2019: 7th International Conference on Technological Ecosystems for Enhancing Multiculturality. editor / Miguel Angel Conde-Gonzalez ; Francisco Jesus Rodriguez-Sedano ; Camino Fernandez-Llamas ; Francisco Jose Garcia-Penalvo. Association for Computing Machinery, 2019. pp. 554-557 (ACM International Conference Proceeding Series).
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