Professor Min-Soo Rhu’s research team at our faculty has developed the world’s first mix-type artificial intelligence (AI) accelerator based on the ‘Multi-chip module’ (MCM) technology to speed up the recommendation system.
An article on the research results was reported in a Korea IT newspaper on July 6th.
This study corresponds to a technology that significantly enhances the performance of AI-based recommendation systems while minimizing the structural changes of existing server systems. This increased the performance by up to 17 times compared to the existing recommendation system.
The research team carried out this study with the support of Samsung Electronics Future Technology Promotion Center and also received help from Intel Labs on MCM-based chips.
Related research papers were presented at ACM/IEEE (ISCA) last month, which is one of the best international academic conferences in the field of the computer system architecture.
Professor Min-Soo Rhu expressed his ambition to promote active educational-industrial cooperation to help domestic memory semiconductor companies lead the AI accelerator market.
You can check the detailed research achievements of Professor Min-Soo Rhu’s research team in the press release link below and the blog post contributed by the professor.
[Link]
https://www.etnews.com/20200706000286 (Korea IT newspaper)
https://www.sigarch.org/building-performance-scalable-and-composable-machine-learning-accelerators/
(Article by Professor Min-Soo Rhu, ACM SIGARCH Blog)
