IEEE eScience 2024 (Day 2)

IEEE eScience 2024 (Day 2)

Hi, I’m Ryutaro.

This is my first time writing an article on this website.

I attended IEEE eScience 2024 as a staff member and will share my experience from the event.

 

I participated in the “Cloud DevOps for Scientific Workflows” tutorial in the morning and the “Sustainable Project Pathways for HPC Software and Applications” workshop in the afternoon.

(This is the timetable)

“Tutorials” involve hands-on training, while “Workshops” feature a presentation followed by Q&A and discussions.

The core of the conference is called the “Main Conference”, which took place from the third to the fifth day during IEEE eScience 2024.

 

The morning tutorial focused on KubeFlow, an open-source platform for developing, managing, and executing machine learning workflows, where we had the opportunity to try it out ourselves. Additionally, tools like Prometheus and Grafana were introduced, and I found it interesting to learn about various tools that are useful for machine learning.

 

In the afternoon workshop, researchers mainly discussed sustainability.

One of the topics raised during the session was whether AI could be used for code refactoring.

This is my first time hearing the term “code smell”, which refers to a symptom in the code that indicates a potential underlying issue or poor design.

The participants were actively engaging in discussions from various perspectives.

In my future, I want to engage in discussions as activly as they did.

 

Finally, I realized that my English skills are still lacking, as I could barely understand the speakers.

I will do my best to improve my speaking and listening abilities.

 

Lunch:

eScience 2024: [web]