Scholar
Seongmin Hong
Google Scholar ID: sUGzQnUAAAAJ
HyperAccel
Citations & Impact
Citations
196
H-index
5
i10-index
3
Publications
10
Co-authors
0
Publications
Resume
Academic Achievements
- Developed a technology that is 10 times more cost and energy efficient than today's market solutions; Implemented highly optimized ASIC products for LLM inference using 4nm process technology.
Research Experience
- Involved in the development of the world's first hardware accelerator dedicated to end-to-end LLM inference - the Latency Processing Unit (LPU); Researched how to improve the efficiency of multi-LPU systems through innovative ESL technology.
Background
- Focused on the field of generative AI, particularly in accelerating large language models (LLMs).
Miscellany
- Looking for talented and passionate individuals to join the team and contribute to the advancement of generative AI.