Chialo Lee
Having 5 years of experience as a data scientist, Chialo's expertise lies in data analysis and prediction, especially in the fields of educational gaming and industrial data
visualization.
Session
07-28
12:20
10min
Falra.jl : Distributed Computing with AI Source Code Generation
Bowen Chiu, Chialo Lee
Falra.jl in Julia provides a straightforward approach to implementing distributed computing, equipped with an AI-assisted feature for generating source code. This addition facilitates more efficient big data transformations. Tasks such as preprocessing 16TB of IoT data can be done in 1/100 of the original time. Developers are now able to generate Julia source code more easily with the aid of AI, further aiding in distributed computing tasks.
HPC
32-124