Speaker
Kihyeon Cho
(KISTI)
Description
High-energy physics (HEP) has traditionally been studied with experimental, theoretical, and computational simulations combined with e-Science so that it can be studied anytime and anyplace. The recent production of big data needs high-speed data processing and artificial intelligence. As artificial intelligence evolves into machine learning and deep learning, high-energy physics requires a huge amount of evolving computing. Let me introduce the evolving computing architecture for HEP researches in Korea.
Primary author
Kihyeon Cho
(KISTI)
