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HPC-Ed 2019 - Special Session on High Performance Computing and Modeling & Simulation Education (HPC-Ed 2019)

Date2019-07-15 - 2019-07-19

Deadline2019-04-01

VenueDublin, Ireland Ireland

Keywords

Websitehttps://hpcs2019.cisedu.info

Topics/Call fo Papers

The fields of High Performance Computing, Cloud Computing, Distributed Systems, Big Data and Analytics, Computational Sciences, IoT, Artificial Intelligence, and several other related subjects are essential for newly developed technologies and discoveries. They are increasingly needed in many domains and daily life applications. Consequently, these systems and their applications will require a well trained workforce which can exploit the newly available capabilities and push forward to more innovations and breakthroughs.
Preparing and training the new workforce for these technologies will require the development of well-thought out curriculum, pedagogical tools and platforms, programming languages and models, as well as laboratories and project oriented expertise.
This track on High Performance Computing and Modeling & Simulation Education is meant to provide a forum and an opportunity for our communities in the subject matters to present, exchange and collaborate on the educational aspects and pedagogical developments of HPC related topics and their applications.
The HPC-Ed topics include (but are not limited to) the following:
Undergraduate and graduate Curriculum development for HPC, Parallel processing, Cloud Computing, sustainable and energy-aware HPC systems, and Distributed Computing systems
Undergraduate and graduate Curriculum development for modeling and simulation using HPC and Distributed computing systems
Experiences and lessons learned from existing programs and courseware
Novel practices for course work development and delivery
Assisting Tools and platforms for learning and education
Interdisciplinary and multidisciplinary curricula and programs
Languages, programming environments and Operating Systems education
Project based Learning
Design of laboratories and learning experiments
Program Assessment and Evaluation
Application domains (Big data, IoT, AI, Computational Sciences, Fog & Edge Computing, Mobile Computing, etc.)
Non-traditional learning and education

Last modified: 2019-03-17 12:58:48